Tokenizer

Overview

You can use this Snap to convert sentences into an array of tokens.
Note:
  • In the context of the ML Natural Language Processing Snap Pack, a token can be a word or special characters. In order to perform Natural Language Processing (NLP) operations with other Snaps in this Snap Pack, an array of tokens is required.
  • This Snap uses Apache OpenNLP Library, which is a machine-learning based toolkit for processing natural language text. It supports the most common NLP tasks, such as tokenization, sentence segmentation, part-of-speech tagging, named entity extraction, chunking, parsing, and coreference resolution.

Tokenizer Snap

Prerequisites

None.

Limitations and known issues

None.

Snap views

View Description Examples of upstream and downstream Snaps
Input This Snap supports a maximum of one document input view and it requires an input document. Any Snap that offers documents.
Examples:
Output This Snap supports a maximum of one document output view and it requires a document containing an array of tokens. Any Snap that accepts documents.
Examples:
Error

Error handling is a generic way to handle errors without losing data or failing the Snap execution. You can handle the errors that the Snap might encounter when running the pipeline by choosing one of the following options from the When errors occur list under the Views tab. The available options are:

  • Stop Pipeline Execution Stops the current pipeline execution when an error occurs.
  • Discard Error Data and Continue Ignores the error, discards that record, and continues with the remaining records.
  • Route Error Data to Error View Routes the error data to an error view without stopping the Snap execution.

Learn more about Error handling in Pipelines.

Snap settings

Note:
  • Suggestion icon (): Indicates a list that is dynamically populated based on the configuration.
  • Expression icon (): Indicates whether the value is an expression (if enabled) or a static value (if disabled). Learn more about Using Expressions in SnapLogic.
  • Add icon (Plus Icon): Indicates that you can add fields in the field set.
  • Remove icon (Minus Icon): Indicates that you can remove fields from the field set.
Field / Field set Type Description
Label String

Required. Specify a unique name for the Snap. Modify this to be more appropriate, especially if more than one of the same Snaps is in the pipeline.

Default value: Tokenizer

Example: Customer data token
Text String/Suggestion

Required. Specify the text containing the sentences that must be tokenized from the upstream Snap.

Default value: N/A

Example: $text
Word only Checkbox

Select this checkbox to exclude special characters in the output.

Default status: Selected
Snap execution Dropdown list
Select one of the three modes in which the Snap executes. Available options are:
  • Validate & Execute: Performs limited execution of the Snap and generates a data preview during pipeline validation. Subsequently, performs full execution of the Snap (unlimited records) during pipeline runtime.
  • Execute only: Performs full execution of the Snap during pipeline execution without generating preview data.
  • Disabled: Disables the Snap and all Snaps that are downstream from it.

Default value: Validate & Execute

Example: Execute only

Examples