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At liftoff, the stage’s five F-1 rocket engines ignite and produce 7.5 million pounds of thrust.  //// 1111 ^^^^ 2222 — — 3333 !!!! 4444 &&&& 5555 %%%% 6666 ???? 7777  To replace those goofy quantities with the far less retarded metric system (even though liters are considered part of the metric system they are the same as cubic deci-meters) you would say 770 cubic meters of kerosene {abbreviated as m3} and 1,204 m3 of liquid O2 [O2 is the symbol for oxygen]. We would also say it produced 33,600,000 newtons of force <abbreviated as N>.  — — 3333 ~~~~ 9999 :::: 8888 ;;;; 6776 ```` 2332 ‘’’’ 3323 “””” 4343 @@@@  To add scientific notation {a way of writing numbers that allows you to write only as many digits `of specificity` as you would like} you can write 7.7 * 10 ^ 2 m3 of kerosene 1.204 * 10 ^ 3 m3 of O2 and 3.3 * 10 ^ 7 newtons.  <<<< >>>> {{{{ }}}} (((( )))) [[[[ ]]]]  Another way to write scientific notation is to replace the “* 10 ^” with ‘E’ -/capital e\\-. So our numbers would look like:s  #### 7.7 E 2  ==== 1.2 E 3  %%%% 3.3 E 7  ???? %%%% &&&& !!!! ^^^^ — — **** ++++ ==== 112233445566778899 Saturn V rocket’s first stage carries 203,400 gallons (770,000 liters) of kerosene fuel and 318,000 gallons (1.2 million liters) of liquid oxygen needed for combustion. At liftoff, the stage’s five F-1 rocket engines ignite and produce 7.5 million pounds of thrust.  //// 1111 ^^^^ 2222 — — 3333 !!!! 4444 &&&& 5555 %%%% 6666 ???? 7777  To replace those goofy quantities with the far less retarded metric system (even though liters are considered part of the metric system they are the same as cubic deci-meters) you would say 770 cubic meters of kerosene {abbreviated as m3} and 1,204 m3 of liquid O2 [O2 is the symbol for oxygen]. We would also say it produced 33,600,000 newtons of force <abbreviated as N>.  — — 3333 ~~~~ 9999 :::: 8888 ;;;; 6776 ```` 2332 ‘’’’ 3323 “””” 4343 @@@@  To add scientific notation {a way of writing numbers that allows you to write only as many digits `of specificity` as you would like} you can write 7.7 * 10 ^ 2 m3 of kerosene 1.204 * 10 ^ 3 m3 of O2 and 3.3 * 10 ^ 7 newtons.  <<<< >>>> {{{{ }}}} (((( )))) [[[[ ]]]]  Another way to write scientific notation is to replace the “* 10 ^” with ‘E’ -/capital e\\-. So our numbers would look like:s  #### 7.7 E 2  ==== 1.2 E 3  %%%% 3.3 E 7  ???? %%%% &&&& !!!! ^^^^ — — **** ++++ ====112233445566778899 Saturn V rocket’s first stage carries 203,400 gallons (770,000 liters) of kerosene fuel and 318,000 gallons (1.2 million liters) of liquid oxygen needed for combustion. At liftoff, the stage’s five F-1 rocket engines ignite and produce 7.5 million pounds of thrust.  //// 1111 ^^^^ 2222 — — 3333 !!!! 4444 &&&& 5555 %%%% 6666 ???? 7777  To replace those goofy quantities with the far less retarded metric system (even though liters are considered part of the metric system they are the same as cubic deci-meters) you would say 770 cubic meters of kerosene {abbreviated as m3} and 1,204 m3 of liquid O2 [O2 is the symbol for oxygen]. We would also say it produced 33,600,000 newtons of force <abbreviated as N>.  — — 3333 ~~~~ 9999 :::: 8888 ;;;; 6776 ```` 2332 ‘’’’ 3323 “””” 4343 @@@@  To add scientific notation {a way of writing numbers that allows you to write only as many digits `of specificity` as you would like} you can write 7.7 * 10 ^ 2 m3 of kerosene 1.204 * 10 ^ 3 m3 of O2 and 3.3 * 10 ^ 7 newtons.  <<<< >>>> {{{{ }}}} (((( )))) [[[[ ]]]]  Another way to write scientific notation is to replace the “* 10 ^” with ‘E’ -/capital e\\-. So our numbers would look like:s  #### 7.7 E 2  ==== 1.2 E 3  %%%% 3.3 E 7  ???? %%%% &&&& !!!! ^^^^ — — **** ++++ ====112233445566778899 Saturn V rocket’s first stage carries 203,400 gallons (770,000 liters) of kerosene fuel and 318,000 gallons (1.2 million liters) of liquid oxygen needed for combustion. At liftoff, the stage’s five F-1 rocket engines ignite and produce 7.5 million pounds of thrust.  //// 1111 ^^^^ 2222 — — 3333 !!!! 4444 &&&& 5555 %%%% 6666 ???? 7777  To replace those goofy quantities with the far less retarded metric system (even though liters are considered part of the metric system they are the same as cubic deci-meters) you would say 770 cubic meters of kerosene {abbreviated as m3} and 1,204 m3 of liquid O2 [O2 is the symbol for oxygen]. We would also say it produced 33,600,000 newtons of force <abbreviated as N>.  — — 3333 ~~~~ 9999 :::: 8888 ;;;; 6776 ```` 2332 ‘’’’ 3323 “””” 4343 @@@@  To add scientific notation {a way of writing numbers that allows you to write only as many digits `of specificity` as you would like} you can write 7.7 * 10 ^ 2 m3 of kerosene 1.204 * 10 ^ 3 m3 of O2 and 3.3 * 10 ^ 7 newtons.  <<<< >>>> {{{{ }}}} (((( )))) [[[[ ]]]]  Another way to write scientific notation is to replace the “* 10 ^” with ‘E’ -/capital e\\-. So our numbers would look like:s  #### 7.7 E 2  ==== 1.2 E 3  %%%% 3.3 E 7  ???? %%%% &&&& !!!! ^^^^ — — **** ++++ ====112233445566778899 Saturn V rocket’s first stage carries 203,400 gallons (770,000 liters) of kerosene fuel and 318,000 gallons (1.2 million liters) of liquid oxygen needed for combustion. At liftoff, the stage’s five F-1 rocket engines ignite and produce 7.5 million pounds of thrust.  //// 1111 ^^^^ 2222 — — 3333 !!!! 4444 &&&& 5555 %%%% 6666 ???? 7777  To replace those goofy quantities with the far less retarded metric system (even though liters are considered part of the metric system they are the same as cubic deci-meters) you would say 770 cubic meters of kerosene {abbreviated as m3} and 1,204 m3 of liquid O2 [O2 is the symbol for oxygen]. We would also say it produced 33,600,000 newtons of force <abbreviated as N>.  — — 3333 ~~~~ 9999 :::: 8888 ;;;; 6776 ```` 2332 ‘’’’ 3323 “””” 4343 @@@@  To add scientific notation {a way of writing numbers that allows you to write only as many digits `of specificity` as you would like} you can write 7.7 * 10 ^ 2 m3 of kerosene 1.204 * 10 ^ 3 m3 of O2 and 3.3 * 10 ^ 7 newtons.  <<<< >>>> {{{{ }}}} (((( )))) [[[[ ]]]]  Another way to write scientific notation is to replace the “* 10 ^” with ‘E’ -/capital e\\-. 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So our numbers would look like:s  #### 7.7 E 2  ==== 1.2 E 3  %%%% 3.3 E 7  ???? %%%% &&&& !!!! ^^^^ — — **** ++++ ====112233445566778899 Saturn V rocket’s first stage carries 203,400 gallons (770,000 liters) of kerosene fuel and 318,000 gallons (1.2 million liters) of liquid oxygen needed for combustion. At liftoff, the stage’s five F-1 rocket engines ignite and produce 7.5 million pounds of thrust.  //// 1111 ^^^^ 2222 — — 3333 !!!! 4444 &&&& 5555 %%%% 6666 ???? 7777  To replace those goofy quantities with the far less retarded metric system (even though liters are considered part of the metric system they are the same as cubic deci-meters) you would say 770 cubic meters of kerosene {abbreviated as m3} and 1,204 m3 of liquid O2 [O2 is the symbol for oxygen]. We would also say it produced 33,600,000 newtons of force <abbreviated as N>.  — — 3333 ~~~~ 9999 :::: 8888 ;;;; 6776 ```` 2332 ‘’’’ 3323 “””” 4343 @@@@  To add scientific notation {a way of writing numbers that allows you to write only as many digits `of specificity` as you would like} you can write 7.7 * 10 ^ 2 m3 of kerosene 1.204 * 10 ^ 3 m3 of O2 and 3.3 * 10 ^ 7 newtons.  <<<< >>>> {{{{ }}}} (((( )))) [[[[ ]]]]  Another way to write scientific notation is to replace the “* 10 ^” with ‘E’ -/capital e\\-. So our numbers would look like:s  #### 7.7 E 2  ==== 1.2 E 3  %%%% 3.3 E 7  ???? %%%% &&&& !!!! ^^^^ — — **** ++++ ====112233445566778899 Saturn V rocket’s first stage carries 203,400 gallons (770,000 liters) of kerosene fuel and 318,000 gallons (1.2 million liters) of liquid oxygen needed for combustion. At liftoff, the stage’s five F-1 rocket engines ignite and produce 7.5 million pounds of thrust.  //// 1111 ^^^^ 2222 — — 3333 !!!! 4444 &&&& 5555 %%%% 6666 ???? 7777  To replace those goofy quantities with the far less retarded metric system (even though liters are considered part of the metric system they are the same as cubic deci-meters) you would say 770 cubic meters of kerosene {abbreviated as m3} and 1,204 m3 of liquid O2 [O2 is the symbol for oxygen]. We would also say it produced 33,600,000 newtons of force <abbreviated as N>.  — — 3333 ~~~~ 9999 :::: 8888 ;;;; 6776 ```` 2332 ‘’’’ 3323 “””” 4343 @@@@  To add scientific notation {a way of writing numbers that allows you to write only as many digits `of specificity` as you would like} you can write 7.7 * 10 ^ 2 m3 of kerosene 1.204 * 10 ^ 3 m3 of O2 and 3.3 * 10 ^ 7 newtons.  <<<< >>>> {{{{ }}}} (((( )))) [[[[ ]]]]  Another way to write scientific notation is to replace the “* 10 ^” with ‘E’ -/capital e\\-. So our numbers would look like:s  #### 7.7 E 2  ==== 1.2 E 3  %%%% 3.3 E 7  ???? %%%% &&&& !!!! ^^^^ — — **** ++++ ====112233445566778899 Saturn V rocket’s first stage carries 203,400 gallons (770,000 liters) of kerosene fuel and 318,000 gallons (1.2 million liters) of liquid oxygen needed for combustion. At liftoff, the stage’s five F-1 rocket engines ignite and produce 7.5 million pounds of thrust.  //// 1111 ^^^^ 2222 — — 3333 !!!! 4444 &&&& 5555 %%%% 6666 ???? 7777  To replace those goofy quantities with the far less retarded metric system (even though liters are considered part of the metric system they are the same as cubic deci-meters) you would say 770 cubic meters of kerosene {abbreviated as m3} and 1,204 m3 of liquid O2 [O2 is the symbol for oxygen]. We would also say it produced 33,600,000 newtons of force <abbreviated as N>.  — — 3333 ~~~~ 9999 :::: 8888 ;;;; 6776 ```` 2332 ‘’’’ 3323 “””” 4343 @@@@  To add scientific notation {a way of writing numbers that allows you to write only as many digits `of specificity` as you would like} you can write 7.7 * 10 ^ 2 m3 of kerosene 1.204 * 10 ^ 3 m3 of O2 and 3.3 * 10 ^ 7 newtons.  <<<< >>>> {{{{ }}}} (((( )))) [[[[ ]]]]  Another way to write scientific notation is to replace the “* 10 ^” with ‘E’ -/capital e\\-. So our numbers would look like:s  #### 7.7 E 2  ==== 1.2 E 3  %%%% 3.3 E 7  ???? %%%% &&&& !!!! ^^^^ — — **** ++++ ====112233445566778899 Saturn V rocket’s first stage carries 203,400 gallons (770,000 liters) of kerosene fuel and 318,000 gallons (1.2 million liters) of liquid oxygen needed for combustion. At liftoff, the stage’s five F-1 rocket engines ignite and produce 7.5 million pounds of thrust.  //// 1111 ^^^^ 2222 — — 3333 !!!! 4444 &&&& 5555 %%%% 6666 ???? 7777  To replace those goofy quantities with the far less retarded metric system (even though liters are considered part of the metric system they are the same as cubic deci-meters) you would say 770 cubic meters of kerosene {abbreviated as m3} and 1,204 m3 of liquid O2 [O2 is the symbol for oxygen]. We would also say it produced 33,600,000 newtons of force <abbreviated as N>.  — — 3333 ~~~~ 9999 :::: 8888 ;;;; 6776 ```` 2332 ‘’’’ 3323 “””” 4343 @@@@  To add scientific notation {a way of writing numbers that allows you to write only as many digits `of specificity` as you would like} you can write 7.7 * 10 ^ 2 m3 of kerosene 1.204 * 10 ^ 3 m3 of O2 and 3.3 * 10 ^ 7 newtons.  <<<< >>>> {{{{ }}}} (((( )))) [[[[ ]]]]  Another way to write scientific notation is to replace the “* 10 ^” with ‘E’ -/capital e\\-. So our numbers would look like:s  #### 7.7 E 2  ==== 1.2 E 3  %%%% 3.3 E 7  ???? %%%% &&&& !!!! ^^^^ — — **** ++++ ====112233445566778899 Saturn V rocket’s first stage carries 203,400 gallons (770,000 liters) of kerosene fuel and 318,000 gallons (1.2 million liters) of liquid oxygen needed for combustion. At liftoff, the stage’s five F-1 rocket engines ignite and produce 7.5 million pounds of thrust.  //// 1111 ^^^^ 2222 — — 3333 !!!! 4444 &&&& 5555 %%%% 6666 ???? 7777  To replace those goofy quantities with the far less retarded metric system (even though liters are considered part of the metric system they are the same as cubic deci-meters) you would say 770 cubic meters of kerosene {abbreviated as m3} and 1,204 m3 of liquid O2 [O2 is the symbol for oxygen]. We would also say it produced 33,600,000 newtons of force <abbreviated as N>.  — — 3333 ~~~~ 9999 :::: 8888 ;;;; 6776 ```` 2332 ‘’’’ 3323 “””” 4343 @@@@  To add scientific notation {a way of writing numbers that allows you to write only as many digits `of specificity` as you would like} you can write 7.7 * 10 ^ 2 m3 of kerosene 1.204 * 10 ^ 3 m3 of O2 and 3.3 * 10 ^ 7 newtons.  <<<< >>>> {{{{ }}}} (((( )))) [[[[ ]]]]  Another way to write scientific notation is to replace the “* 10 ^” with ‘E’ -/capital e\\-. So our numbers would look like:s  #### 7.7 E 2  ==== 1.2 E 3  %%%% 3.3 E 7  ???? %%%% &&&& !!!! ^^^^ — — **** ++++ ====112233445566778899 Saturn V rocket’s first stage carries 203,400 gallons (770,000 liters) of kerosene fuel and 318,000 gallons (1.2 million liters) of liquid oxygen needed for combustion. At liftoff, the stage’s five F-1 rocket engines ignite and produce 7.5 million pounds of thrust.  //// 1111 ^^^^ 2222 — — 3333 !!!! 4444 &&&& 5555 %%%% 6666 ???? 7777  To replace those goofy quantities with the far less retarded metric system (even though liters are considered part of the metric system they are the same as cubic deci-meters) you would say 770 cubic meters of kerosene {abbreviated as m3} and 1,204 m3 of liquid O2 [O2 is the symbol for oxygen]. We would also say it produced 33,600,000 newtons of force <abbreviated as N>.  — — 3333 ~~~~ 9999 :::: 8888 ;;;; 6776 ```` 2332 ‘’’’ 3323 “””” 4343 @@@@  To add scientific notation {a way of writing numbers that allows you to write only as many digits `of specificity` as you would like} you can write 7.7 * 10 ^ 2 m3 of kerosene 1.204 * 10 ^ 3 m3 of O2 and 3.3 * 10 ^ 7 newtons.  <<<< >>>> {{{{ }}}} (((( )))) [[[[ ]]]]  Another way to write scientific notation is to replace the “* 10 ^” with ‘E’ -/capital e\\-. So our numbers would look like:s  #### 7.7 E 2  ==== 1.2 E 3  %%%% 3.3 E 7  ???? %%%% &&&& !!!! ^^^^ — — **** ++++ ====112233445566778899 Saturn V rocket’s first stage carries 203,400 gallons (770,000 liters) of kerosene fuel and 318,000 gallons (1.2 million liters) of liquid oxygen needed for combustion. At liftoff, the stage’s five F-1 rocket engines ignite and produce 7.5 million pounds of thrust.  //// 1111 ^^^^ 2222 — — 3333 !!!! 4444 &&&& 5555 %%%% 6666 ???? 7777  To replace those goofy quantities with the far less retarded metric system (even though liters are considered part of the metric system they are the same as cubic deci-meters) you would say 770 cubic meters of kerosene {abbreviated as m3} and 1,204 m3 of liquid O2 [O2 is the symbol for oxygen]. We would also say it produced 33,600,000 newtons of force <abbreviated as N>.  — — 3333 ~~~~ 9999 :::: 8888 ;;;; 6776 ```` 2332 ‘’’’ 3323 “””” 4343 @@@@  To add scientific notation {a way of writing numbers that allows you to write only as many digits `of specificity` as you would like} you can write 7.7 * 10 ^ 2 m3 of kerosene 1.204 * 10 ^ 3 m3 of O2 and 3.3 * 10 ^ 7 newtons.  <<<< >>>> {{{{ }}}} (((( )))) [[[[ ]]]]  Another way to write scientific notation is to replace the “* 10 ^” with ‘E’ -/capital e\\-. So our numbers would look like:s  #### 7.7 E 2  ==== 1.2 E 3  %%%% 3.3 E 7  ???? %%%% &&&& !!!! ^^^^ — — **** ++++ ====112233445566778899 Saturn V rocket’s first stage carries 203,400 gallons (770,000 liters) of kerosene fuel and 318,000 gallons (1.2 million liters) of liquid oxygen needed for combustion. At liftoff, the stage’s five F-1 rocket engines ignite and produce 7.5 million pounds of thrust.  //// 1111 ^^^^ 2222 — — 3333 !!!! 4444 &&&& 5555 %%%% 6666 ???? 7777  To replace those goofy quantities with the far less retarded metric system (even though liters are considered part of the metric system they are the same as cubic deci-meters) you would say 770 cubic meters of kerosene {abbreviated as m3} and 1,204 m3 of liquid O2 [O2 is the symbol for oxygen]. We would also say it produced 33,600,000 newtons of force <abbreviated as N>.  — — 3333 ~~~~ 9999 :::: 8888 ;;;; 6776 ```` 2332 ‘’’’ 3323 “””” 4343 @@@@  To add scientific notation {a way of writing numbers that allows you to write only as many digits `of specificity` as you would like} you can write 7.7 * 10 ^ 2 m3 of kerosene 1.204 * 10 ^ 3 m3 of O2 and 3.3 * 10 ^ 7 newtons.  <<<< >>>> {{{{ }}}} (((( )))) [[[[ ]]]]  Another way to write scientific notation is to replace the “* 10 ^” with ‘E’ -/capital e\\-. So our numbers would look like:s  #### 7.7 E 2  ==== 1.2 E 3  %%%% 3.3 E 7  ???? %%%% &&&& !!!! ^^^^ — — **** ++++ ====112233445566778899 Saturn V rocket’s first stage carries 203,400 gallons (770,000 liters) of kerosene fuel and 318,000 gallons (1.2 million liters) of liquid oxygen needed for combustion. At liftoff, the stage’s five F-1 rocket engines ignite and produce 7.5 million pounds of thrust.  //// 1111 ^^^^ 2222 — — 3333 !!!! 4444 &&&& 5555 %%%% 6666 ???? 7777  To replace those goofy quantities with the far less retarded metric system (even though liters are considered part of the metric system they are the same as cubic deci-meters) you would say 770 cubic meters of kerosene {abbreviated as m3} and 1,204 m3 of liquid O2 [O2 is the symbol for oxygen]. We would also say it produced 33,600,000 newtons of force <abbreviated as N>.  — — 3333 ~~~~ 9999 :::: 8888 ;;;; 6776 ```` 2332 ‘’’’ 3323 “””” 4343 @@@@  To add scientific notation {a way of writing numbers that allows you to write only as many digits `of specificity` as you would like} you can write 7.7 * 10 ^ 2 m3 of kerosene 1.204 * 10 ^ 3 m3 of O2 and 3.3 * 10 ^ 7 newtons.  <<<< >>>> {{{{ }}}} (((( )))) [[[[ ]]]]  Another way to write scientific notation is to replace the “* 10 ^” with ‘E’ -/capital e\\-. So our numbers would look like:s  #### 7.7 E 2  ==== 1.2 E 3  %%%% 3.3 E 7  ???? %%%% &&&& !!!! ^^^^ — — **** ++++ ====112233445566778899 Saturn V rocket’s first stage carries 203,400 gallons (770,000 liters) of kerosene fuel and 318,000 gallons (1.2 million liters) of liquid oxygen needed for combustion. At liftoff, the stage’s five F-1 rocket engines ignite and produce 7.5 million pounds of thrust.  //// 1111 ^^^^ 2222 — — 3333 !!!! 4444 &&&& 5555 %%%% 6666 ???? 7777  To replace those goofy quantities with the far less retarded metric system (even though liters are considered part of the metric system they are the same as cubic deci-meters) you would say 770 cubic meters of kerosene {abbreviated as m3} and 1,204 m3 of liquid O2 [O2 is the symbol for oxygen]. We would also say it produced 33,600,000 newtons of force <abbreviated as N>.  — — 3333 ~~~~ 9999 :::: 8888 ;;;; 6776 ```` 2332 ‘’’’ 3323 “””” 4343 @@@@  To add scientific notation {a way of writing numbers that allows you to write only as many digits `of specificity` as you would like} you can write 7.7 * 10 ^ 2 m3 of kerosene 1.204 * 10 ^ 3 m3 of O2 and 3.3 * 10 ^ 7 newtons.  <<<< >>>> {{{{ }}}} (((( )))) [[[[ ]]]]  Another way to write scientific notation is to replace the “* 10 ^” with ‘E’ -/capital e\\-. So our numbers would look like:s  #### 7.7 E 2  ==== 1.2 E 3  %%%% 3.3 E 7  ???? %%%% &&&& !!!! ^^^^ — — **** ++++ ====112233445566778899 Saturn V rocket’s first stage carries 203,400 gallons (770,000 liters) of kerosene fuel and 318,000 gallons (1.2 million liters) of liquid oxygen needed for combustion. At liftoff, the stage’s five F-1 rocket engines ignite and produce 7.5 million pounds of thrust.  //// 1111 ^^^^ 2222 — — 3333 !!!! 4444 &&&& 5555 %%%% 6666 ???? 7777  To replace those goofy quantities with the far less retarded metric system (even though liters are considered part of the metric system they are the same as cubic deci-meters) you would say 770 cubic meters of kerosene {abbreviated as m3} and 1,204 m3 of liquid O2 [O2 is the symbol for oxygen]. We would also say it produced 33,600,000 newtons of force <abbreviated as N>.  — — 3333 ~~~~ 9999 :::: 8888 ;;;; 6776 ```` 2332 ‘’’’ 3323 “””” 4343 @@@@  To add scientific notation {a way of writing numbers that allows you to write only as many digits `of specificity` as you would like} you can write 7.7 * 10 ^ 2 m3 of kerosene 1.204 * 10 ^ 3 m3 of O2 and 3.3 * 10 ^ 7 newtons.  <<<< >>>> {{{{ }}}} (((( )))) [[[[ ]]]]  Another way to write scientific notation is to replace the “* 10 ^” with ‘E’ -/capital e\\-. So our numbers would look like:s  #### 7.7 E 2  ==== 1.2 E 3  %%%% 3.3 E 7  ???? %%%% &&&& !!!! ^^^^ — — **** ++++ ====112233445566778899 Saturn V rocket’s first stage carries 203,400 gallons (770,000 liters) of kerosene fuel and 318,000 gallons (1.2 million liters) of liquid oxygen needed for combustion. At liftoff, the stage’s five F-1 rocket engines ignite and produce 7.5 million pounds of thrust.  //// 1111 ^^^^ 2222 — — 3333 !!!! 4444 &&&& 5555 %%%% 6666 ???? 7777  To replace those goofy quantities with the far less retarded metric system (even though liters are considered part of the metric system they are the same as cubic deci-meters) you would say 770 cubic meters of kerosene {abbreviated as m3} and 1,204 m3 of liquid O2 [O2 is the symbol for oxygen]. We would also say it produced 33,600,000 newtons of force <abbreviated as N>.  — — 3333 ~~~~ 9999 :::: 8888 ;;;; 6776 ```` 2332 ‘’’’ 3323 “””” 4343 @@@@  To add scientific notation {a way of writing numbers that allows you to write only as many digits `of specificity` as you would like} you can write 7.7 * 10 ^ 2 m3 of kerosene 1.204 * 10 ^ 3 m3 of O2 and 3.3 * 10 ^ 7 newtons.  <<<< >>>> {{{{ }}}} (((( )))) [[[[ ]]]]  Another way to write scientific notation is to replace the “* 10 ^” with ‘E’ -/capital e\\-. So our numbers would look like:s  #### 7.7 E 2  ==== 1.2 E 3  %%%% 3.3 E 7  ???? %%%% &&&& !!!! ^^^^ — — **** ++++ ====112233445566778899 Saturn V rocket’s first stage carries 203,400 gallons (770,000 liters) of kerosene fuel and 318,000 gallons (1.2 million liters) of liquid oxygen needed for combustion. At liftoff, the stage’s five F-1 rocket engines ignite and produce 7.5 million pounds of thrust.  //// 1111 ^^^^ 2222 — — 3333 !!!! 4444 &&&& 5555 %%%% 6666 ???? 7777  To replace those goofy quantities with the far less retarded metric system (even though liters are considered part of the metric system they are the same as cubic deci-meters) you would say 770 cubic meters of kerosene {abbreviated as m3} and 1,204 m3 of liquid O2 [O2 is the symbol for oxygen]. We would also say it produced 33,600,000 newtons of force <abbreviated as N>.  — — 3333 ~~~~ 9999 :::: 8888 ;;;; 6776 ```` 2332 ‘’’’ 3323 “””” 4343 @@@@  To add scientific notation {a way of writing numbers that allows you to write only as many digits `of specificity` as you would like} you can write 7.7 * 10 ^ 2 m3 of kerosene 1.204 * 10 ^ 3 m3 of O2 and 3.3 * 10 ^ 7 newtons.  <<<< >>>> {{{{ }}}} (((( )))) [[[[ ]]]]  Another way to write scientific notation is to replace the “* 10 ^” with ‘E’ -/capital e\\-. So our numbers would look like:s  #### 7.7 E 2  ==== 1.2 E 3  %%%% 3.3 E 7  ???? %%%% &&&& !!!! ^^^^ — — **** ++++ ====112233445566778899 Saturn V rocket’s first stage carries 203,400 gallons (770,000 liters) of kerosene fuel and 318,000 gallons (1.2 million liters) of liquid oxygen needed for combustion. At liftoff, the stage’s five F-1 rocket engines ignite and produce 7.5 million pounds of thrust.  //// 1111 ^^^^ 2222 — — 3333 !!!! 4444 &&&& 5555 %%%% 6666 ???? 7777  To replace those goofy quantities with the far less retarded metric system (even though liters are considered part of the metric system they are the same as cubic deci-meters) you would say 770 cubic meters of kerosene {abbreviated as m3} and 1,204 m3 of liquid O2 [O2 is the symbol for oxygen]. We would also say it produced 33,600,000 newtons of force <abbreviated as N>.  — — 3333 ~~~~ 9999 :::: 8888 ;;;; 6776 ```` 2332 ‘’’’ 3323 “””” 4343 @@@@  To add scientific notation {a way of writing numbers that allows you to write only as many digits `of specificity` as you would like} you can write 7.7 * 10 ^ 2 m3 of kerosene 1.204 * 10 ^ 3 m3 of O2 and 3.3 * 10 ^ 7 newtons.  <<<< >>>> {{{{ }}}} (((( )))) [[[[ ]]]]  Another way to write scientific notation is to replace the “* 10 ^” with ‘E’ -/capital e\\-. So our numbers would look like:s  #### 7.7 E 2  ==== 1.2 E 3  %%%% 3.3 E 7  ???? %%%% &&&& !!!! ^^^^ — — **** ++++ ====112233445566778899 Saturn V rocket’s first stage carries 203,400 gallons (770,000 liters) of kerosene fuel and 318,000 gallons (1.2 million liters) of liquid oxygen needed for combustion. At liftoff, the stage’s five F-1 rocket engines ignite and produce 7.5 million pounds of thrust.  //// 1111 ^^^^ 2222 — — 3333 !!!! 4444 &&&& 5555 %%%% 6666 ???? 7777  To replace those goofy quantities with the far less retarded metric system (even though liters are considered part of the metric system they are the same as cubic deci-meters) you would say 770 cubic meters of kerosene {abbreviated as m3} and 1,204 m3 of liquid O2 [O2 is the symbol for oxygen]. We would also say it produced 33,600,000 newtons of force <abbreviated as N>.  — — 3333 ~~~~ 9999 :::: 8888 ;;;; 6776 ```` 2332 ‘’’’ 3323 “””” 4343 @@@@  To add scientific notation {a way of writing numbers that allows you to write only as many digits `of specificity` as you would like} you can write 7.7 * 10 ^ 2 m3 of kerosene 1.204 * 10 ^ 3 m3 of O2 and 3.3 * 10 ^ 7 newtons.  <<<< >>>> {{{{ }}}} (((( )))) [[[[ ]]]]  Another way to write scientific notation is to replace the “* 10 ^” with ‘E’ -/capital e\\-. So our numbers would look like:s  #### 7.7 E 2  ==== 1.2 E 3  %%%% 3.3 E 7  ???? %%%% &&&& !!!! ^^^^ — — **** ++++ ====112233445566778899 Saturn V rocket’s first stage carries 203,400 gallons (770,000 liters) of kerosene fuel and 318,000 gallons (1.2 million liters) of liquid oxygen needed for combustion. At liftoff, the stage’s five F-1 rocket engines ignite and produce 7.5 million pounds of thrust.  //// 1111 ^^^^ 2222 — — 3333 !!!! 4444 &&&& 5555 %%%% 6666 ???? 7777  To replace those goofy quantities with the far less retarded metric system (even though liters are considered part of the metric system they are the same as cubic deci-meters) you would say 770 cubic meters of kerosene {abbreviated as m3} and 1,204 m3 of liquid O2 [O2 is the symbol for oxygen]. We would also say it produced 33,600,000 newtons of force <abbreviated as N>.  — — 3333 ~~~~ 9999 :::: 8888 ;;;; 6776 ```` 2332 ‘’’’ 3323 “””” 4343 @@@@  To add scientific notation {a way of writing numbers that allows you to write only as many digits `of specificity` as you would like} you can write 7.7 * 10 ^ 2 m3 of kerosene 1.204 * 10 ^ 3 m3 of O2 and 3.3 * 10 ^ 7 newtons.  <<<< >>>> {{{{ }}}} (((( )))) [[[[ ]]]]  Another way to write scientific notation is to replace the “* 10 ^” with ‘E’ -/capital e\\-. So our numbers would look like:s  #### 7.7 E 2  ==== 1.2 E 3  %%%% 3.3 E 7  ???? %%%% &&&& !!!! ^^^^ — — **** ++++ ====112233445566778899 Saturn V rocket’s first stage carries 203,400 gallons (770,000 liters) of kerosene fuel and 318,000 gallons (1.2 million liters) of liquid oxygen needed for combustion. At liftoff, the stage’s five F-1 rocket engines ignite and produce 7.5 million pounds of thrust.  //// 1111 ^^^^ 2222 — — 3333 !!!! 4444 &&&& 5555 %%%% 6666 ???? 7777  To replace those goofy quantities with the far less retarded metric system (even though liters are considered part of the metric system they are the same as cubic deci-meters) you would say 770 cubic meters of kerosene {abbreviated as m3} and 1,204 m3 of liquid O2 [O2 is the symbol for oxygen]. We would also say it produced 33,600,000 newtons of force <abbreviated as N>.  — — 3333 ~~~~ 9999 :::: 8888 ;;;; 6776 ```` 2332 ‘’’’ 3323 “””” 4343 @@@@  To add scientific notation {a way of writing numbers that allows you to write only as many digits `of specificity` as you would like} you can write 7.7 * 10 ^ 2 m3 of kerosene 1.204 * 10 ^ 3 m3 of O2 and 3.3 * 10 ^ 7 newtons.  <<<< >>>> {{{{ }}}} (((( )))) [[[[ ]]]]  Another way to write scientific notation is to replace the “* 10 ^” with ‘E’ -/capital e\\-. So our numbers would look like:s  #### 7.7 E 2  ==== 1.2 E 3  %%%% 3.3 E 7  ???? %%%% &&&& !!!! ^^^^ — — **** ++++ ====112233445566778899 Saturn V rocket’s first stage carries 203,400 gallons (770,000 liters) of kerosene fuel and 318,000 gallons (1.2 million liters) of liquid oxygen needed for combustion. At liftoff, the stage’s five F-1 rocket engines ignite and produce 7.5 million pounds of thrust.  //// 1111 ^^^^ 2222 — — 3333 !!!! 4444 &&&& 5555 %%%% 6666 ???? 7777  To replace those goofy quantities with the far less retarded metric system (even though liters are considered part of the metric system they are the same as cubic deci-meters) you would say 770 cubic meters of kerosene {abbreviated as m3} and 1,204 m3 of liquid O2 [O2 is the symbol for oxygen]. We would also say it produced 33,600,000 newtons of force <abbreviated as N>.  — — 3333 ~~~~ 9999 :::: 8888 ;;;; 6776 ```` 2332 ‘’’’ 3323 “””” 4343 @@@@  To add scientific notation {a way of writing numbers that allows you to write only as many digits `of specificity` as you would like} you can write 7.7 * 10 ^ 2 m3 of kerosene 1.204 * 10 ^ 3 m3 of O2 and 3.3 * 10 ^ 7 newtons.  <<<< >>>> {{{{ }}}} (((( )))) [[[[ ]]]]  Another way to write scientific notation is to replace the “* 10 ^” with ‘E’ -/capital e\\-. So our numbers would look like:s  #### 7.7 E 2  ==== 1.2 E 3  %%%% 3.3 E 7  ???? %%%% &&&& !!!! ^^^^ — — **** ++++ ====112233445566778899 Saturn V rocket’s first stage carries 203,400 gallons (770,000 liters) of kerosene fuel and 318,000 gallons (1.2 million liters) of liquid oxygen needed for combustion. At liftoff, the stage’s five F-1 rocket engines ignite and produce 7.5 million pounds of thrust.  //// 1111 ^^^^ 2222 — — 3333 !!!! 4444 &&&& 5555 %%%% 6666 ???? 7777  To replace those goofy quantities with the far less retarded metric system (even though liters are considered part of the metric system they are the same as cubic deci-meters) you would say 770 cubic meters of kerosene {abbreviated as m3} and 1,204 m3 of liquid O2 [O2 is the symbol for oxygen]. We would also say it produced 33,600,000 newtons of force <abbreviated as N>.  — — 3333 ~~~~ 9999 :::: 8888 ;;;; 6776 ```` 2332 ‘’’’ 3323 “””” 4343 @@@@  To add scientific notation {a way of writing numbers that allows you to write only as many digits `of specificity` as you would like} you can write 7.7 * 10 ^ 2 m3 of kerosene 1.204 * 10 ^ 3 m3 of O2 and 3.3 * 10 ^ 7 newtons.  <<<< >>>> {{{{ }}}} (((( )))) [[[[ ]]]]  Another way to write scientific notation is to replace the “* 10 ^” with ‘E’ -/capital e\\-. So our numbers would look like:s  #### 7.7 E 2  ==== 1.2 E 3  %%%% 3.3 E 7  ???? %%%% &&&& !!!! ^^^^ — — **** ++++ ====112233445566778899 Saturn V rocket’s first stage carries 203,400 gallons (770,000 liters) of kerosene fuel and 318,000 gallons (1.2 million liters) of liquid oxygen needed for combustion. At liftoff, the stage’s five F-1 rocket engines ignite and produce 7.5 million pounds of thrust.  //// 1111 ^^^^ 2222 — — 3333 !!!! 4444 &&&& 5555 %%%% 6666 ???? 7777  To replace those goofy quantities with the far less retarded metric system (even though liters are considered part of the metric system they are the same as cubic deci-meters) you would say 770 cubic meters of kerosene {abbreviated as m3} and 1,204 m3 of liquid O2 [O2 is the symbol for oxygen]. We would also say it produced 33,600,000 newtons of force <abbreviated as N>.  — — 3333 ~~~~ 9999 :::: 8888 ;;;; 6776 ```` 2332 ‘’’’ 3323 “””” 4343 @@@@  To add scientific notation {a way of writing numbers that allows you to write only as many digits `of specificity` as you would like} you can write 7.7 * 10 ^ 2 m3 of kerosene 1.204 * 10 ^ 3 m3 of O2 and 3.3 * 10 ^ 7 newtons.  <<<< >>>> {{{{ }}}} (((( )))) [[[[ ]]]]  Another way to write scientific notation is to replace the “* 10 ^” with ‘E’ -/capital e\\-. So our numbers would look like:s  #### 7.7 E 2  ==== 1.2 E 3  %%%% 3.3 E 7  ???? %%%% &&&& !!!! ^^^^ — — **** ++++ ====112233445566778899 Saturn V rocket’s first stage carries 203,400 gallons (770,000 liters) of kerosene fuel and 318,000 gallons (1.2 million liters) of liquid oxygen needed for combustion. At liftoff, the stage’s five F-1 rocket engines ignite and produce 7.5 million pounds of thrust.  //// 1111 ^^^^ 2222 — — 3333 !!!! 4444 &&&& 5555 %%%% 6666 ???? 7777  To replace those goofy quantities with the far less retarded metric system (even though liters are considered part of the metric system they are the same as cubic deci-meters) you would say 770 cubic meters of kerosene {abbreviated as m3} and 1,204 m3 of liquid O2 [O2 is the symbol for oxygen]. We would also say it produced 33,600,000 newtons of force <abbreviated as N>.  — — 3333 ~~~~ 9999 :::: 8888 ;;;; 6776 ```` 2332 ‘’’’ 3323 “””” 4343 @@@@  To add scientific notation {a way of writing numbers that allows you to write only as many digits `of specificity` as you would like} you can write 7.7 * 10 ^ 2 m3 of kerosene 1.204 * 10 ^ 3 m3 of O2 and 3.3 * 10 ^ 7 newtons.  <<<< >>>> {{{{ }}}} (((( )))) [[[[ ]]]]  Another way to write scientific notation is to replace the “* 10 ^” with ‘E’ -/capital e\\-. So our numbers would look like:s  #### 7.7 E 2  ==== 1.2 E 3  %%%% 3.3 E 7  ???? %%%% &&&& !!!! ^^^^ — — **** ++++ ==== helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5  helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labelshelloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentimhelloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 ent 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5  Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 helloworldsets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata', -- varchar_col     'Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 ","expression":false},"execution_mode":{"value":"Validate & Execute"},"subject":{"value":"testabove256kb_emailendpoint","expression":false},"messageStructure":{"value":"TEXT"},"topicArn":{"value":"_arn","expression":true},"filterExpression":{"value":null,"expression":true},"region":{"value":"us-west-2","expression":false},"nullSafeAccess":{"value":false},"msgGroupID":{"value":null,"expression":false},"executable_during_suggest":{"value":false},"msgAttrTable":{"value":[{"msgAttrName":{"value":"Json","expression":false},"msgAttrDataTypeName":{"value":"String","expression":false},"msgAttrValue":{"value":"{    \"http\" : {       \"defaultHealthyRetryPolicy\" : {          \"minDelayTarget\":  int,          \"maxDelayTarget\": int,          \"numRetries\": int,          \"numMaxDelayRetries\": int,          \"backoffFunction\": \"linear|arithmetic|geometric|exponential\"       },       \"disableSubscriptionOverrides\" : Boolean,       \"defaultThrottlePolicy\" : {          \"maxReceivesPerSecond\" : int       }    } }","expression":false}}]},"jsonMessage":{"value":[{"protocol":{"value":"default","expression":false},"messageContent":{"value":"{test}","expression":false}},{"protocol":{"value":"email-json","expression":false},"messageContent":{"value":"{     \"quiz\": {         \"sport\": {             \"q1\": {                 \"question\": \"Which one is correct team name in NBA?\",                 \"options\": [                     \"New York Bulls\",                     \"Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLniversity  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5  helloworldsets from (1) the SemEval 2018 Competition and (2) SentimeMultiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment a and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5  helloworldsets from (1) the SemEval 2018 Competition and (2) SentimeMultiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for claseviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5  helloworldsets from (1) the SemEval 2018 Competition and (2) SentimeMultiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Rval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5  helloworldsets from (1) the SemEval 2018 Competition and (2) SentimeMultiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Reis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5  helloworldsets from (1) the SemEval 2018 Competition and (2) SentimeMultiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5  helloworldsets from (1) the SemEval 2018 Competition and (2) SentimeMultiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5  helloworldsets from (1) the SemEval 2018 Competition and (2) SentimeMultiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews andls Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5  helloworldsets from (1) the SemEval 2018 Competition and (2) SentimeMultiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5  helloworldsets from (1) the SemEval 2018 Competition and (2) SentimeMultiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5  helloworldsets from (1) the SemEval 2018 Competition and (2) SentimeMultiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5  helloworldsets from (1) the SemEval 2018 Competition and (2) SentimeMultiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5  helloworldsets from (1) the SemEval 2018 Competition and (2) SentimeMultiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5  helloworldsets from (1) the SemEval 2018 Competition and (2) SentimeMultiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5  helloworldsets from (1) the SemEval 2018 Competition and (2) SentimeMultiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5  helloworldsets from (1) the SemEval 2018 Competition and (2) SentimeMultiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5  helloworldsets from (1) the SemEval 2018 Competition and (2) SentimeMultiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5  helloworldsets from (1) the SemEval 2018 Competition and (2) SentimeMultiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5  helloworldsets from (1) the SemEval 2018 Competition and (2) SentimeMultiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5  helloworldsets from (1) the SemEval 2018 Competition and (2) SentimeMultiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5  helloworldsets from (1) the SemEval 2018 Competition and (2) SentimeMultiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5  helloworldsets from (1) the SemEval 2018 Competition and (2) SentimeMultiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5  helloworldsets from (1) the SemEval 2018 Competition and (2) SentimeMultiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5  helloworldsets from (1) the SemEval 2018 Competition and (2) SentimeMultiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5  helloworldsets from (1) the SemEval 2018 Competition and (2) SentimeMultiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5  helloworldsets from (1) the SemEval 2018 Competition and (2) SentimeMultiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5  helloworldsets from (1) the SemEval 2018 Competition and (2) SentimeMultiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5  helloworldsets from (1) the SemEval 2018 Competition and (2) SentimeMultiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5  helloworldsets from (1) the SemEval 2018 Competition and (2) SentimeMultiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5  helloworldsets from (1) the SemEval 2018 Competition and (2) SentimeMultiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5  helloworldsets from (1) the SemEval 2018 Competition and (2) SentimeMultiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5  helloworldsets from (1) the SemEval 2018 Competition and (2) SentimeMultiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5  helloworldsets from (1) the SemEval 2018 Competition and (2) SentimeMultiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5  helloworldsets from (1) the SemEval 2018 Competition and (2) SentimeMultiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5  helloworldsets from (1) the SemEval 2018 Competition and (2) SentimeMultiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5  helloworldsets from (1) the SemEval 2018 Competition and (2) SentimeMultiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5  helloworldsets from (1) the SemEval 2018 Competition and (2) SentimeMultiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5  helloworldsets from (1) the SemEval 2018 Competition and (2) SentimeMultiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5  helloworldsets from (1) the SemEval 2018 Competition and (2) SentimeMultiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5  helloworldsets from (1) the SemEval 2018 Competition and (2) SentimeMultiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5  helloworldsets from (1) the SemEval 2018 Competition and (2) SentimeMultiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5  helloworldsets from (1) the SemEval 2018 Competition and (2) SentimeMultiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5  helloworldsets from (1) the SemEval 2018 Competition and (2) SentimeMultiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5  helloworldsets from (1) the SemEval 2018 Competition and (2) SentimeMultiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5  helloworldsets from (1) the SemEval 2018 Competition and (2) SentimeMultiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5  helloworldsets from (1) the SemEval 2018 Competition and (2) SentimeMultiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5  helloworldsets from (1) the SemEval 2018 Competition and (2) SentimeMultiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5  helloworldsets from (1) the SemEval 2018 Competition and (2) SentimeMultiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5  helloworldsets from (1) the SemEval 2018 Competition and (2) SentimeMultiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5  helloworldsets from (1) the SemEval 2018 Competition and (2) SentimeMultiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5  helloworldsets from (1) the SemEval 2018 Competition and (2) SentimeMultiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5  helloworldsets from (1) the SemEval 2018 Competition and (2) SentimeMultiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5  helloworldsets from (1) the SemEval 2018 Competition and (2) SentimeMultiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5  helloworldsets from (1) the SemEval 2018 Competition and (2) SentimeMultiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5  helloworldsets from (1) the SemEval 2018 Competition and (2) SentimeMultiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5  helloworldsets from (1) the SemEval 2018 Competition and (2) SentimeMultiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5  helloworldsets from (1) the SemEval 2018 Competition and (2) SentimeMultiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5  helloworldsets from (1) the SemEval 2018 Competition and (2) SentimeMultiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5  helloworldsets from (1) the SemEval 2018 Competition and (2) SentimeMultiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5  helloworldsets from (1) the SemEval 2018 Competition and (2) SentimeMultiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5  helloworldsets from (1) the SemEval 2018 Competition and (2) SentimeMultiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5  helloworldsets from (1) the SemEval 2018 Competition and (2) SentimeMultiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5  helloworldsets from (1) the SemEval 2018 Competition and (2) SentimeMultiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5  helloworldsets from (1) the SemEval 2018 Competition and (2) SentimeMultiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5  helloworldsets from (1) the SemEval 2018 Competition and (2) SentimeMultiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5  helloworldsets from (1) the SemEval 2018 Competition and (2) SentimeMultiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5  helloworldsets from (1) the SemEval 2018 Competition and (2) SentimeMultiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5  helloworldsets from (1) the SemEval 2018 Competition and (2) SentimeMultiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5  helloworldsets from (1) the SemEval 2018 Competition and (2) SentimeMultiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5  helloworldsets from (1) the SemEval 2018 Competition and (2) SentimeMultiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5  helloworldsets from (1) the SemEval 2018 Competition and (2) SentimeMultiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5  helloworldsets from (1) the SemEval 2018 Competition and (2) SentimeMultiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5  helloworldsets from (1) the SemEval 2018 Competition and (2) SentimeMultiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5  helloworldsets from (1) the SemEval 2018 Competition and (2) SentimeMultiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5  helloworldsets from (1) the SemEval 2018 Competition and (2) SentimeMultiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5  helloworldsets from (1) the SemEval 2018 Competition and (2) SentimeMultiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5  helloworldsets from (1) the SemEval 2018 Competition and (2) SentimeMultiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5  helloworldsets from (1) the SemEval 2018 Competition and (2) SentimeMultiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5  helloworldsets from (1) the SemEval 2018 Competition and (2) SentimeMultiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5  helloworldsets from (1) the SemEval 2018 Competition and (2) SentimeMultiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5  helloworldsets from (1) the SemEval 2018 Competition and (2) SentimeMultiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5  helloworldsets from (1) the SemEval 2018 Competition and (2) SentimeMultiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5  helloworldsets from (1) the SemEval 2018 Competition and (2) SentimeMultiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5  helloworldsets from (1) the SemEval 2018 Competition and (2) SentimeMultiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5  helloworldsets from (1) the SemEval 2018 Competition and (2) SentimeMultiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 1111111 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 22222222 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5 333333 Multiple text classification datasets from NLP-progress Multiple sentiment analysis datasets from NLP-progress Yelp Data Set Challenge (8 million reviews of businesses from over 1 million users across 10 cities) Kaggle Data Sets with text content (Kaggle is a company that hosts machine learning competitions) Labeled Twitter data sets from (1) the SemEval 2018 Competition and (2) Sentiment 140 project Amazon Product Review Data from UCSD. This is a very large and rich data set with review text ratings votes product metdata etc The full dataset is extremely large - some of the smaller subsets provided may be better for class projects IMDB Moview Review Data with 50000 movie reviews and binary sentiment labels Well-known Movie review data for sentiment analysis from Pang and Lee, Cornell Product review data from Johns Hopkins University  goal is to predict ratings on scale of 1 to 5  helloworldsets from (1) the SemEval 2018 Competition and (2) Sentime\",                     \"Golden State Warriros\",                     \"Huston Rocket\"                 ],                 \"answer\": \"Huston Rocket\"             }         },         \"maths\": {             \"q1\": {                 \"question\": \"5 + 7 = ?\",                 \"options\": [                     \"10\",                     \"11\",                     \"12\",                     \"13\"                 ],                 \"answer\": \"12\"             },             \"q2\": {                 \"question\": \"12 - 8 = ?\",                 \"options\": [                     \"1\",                     \"2\",                     \"3\",                     \"4\"                 ],                 \"answer\": \"4\"             }         }     } 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