Tokenize Text

How to Access This Feature

From + (plus) Button

There are two ways to access. One is to access from 'Add' (Plus) button.

Another way is to access from a column header menu.


  • Column to Tokenize - Set the text column you want to split or tokenize.

  • Tokenize By - The default is "words". Select the unit of token from

    • Words

    • Sentences

  • Keep Other Columns - The default is FALSE. Whether existing columns should remain.

  • Keep Original Column - Whether input column should be removed. The default is No.

  • With Sentence ID - Whether the sentence ID should be in the output. The default is Yes

  • Remove Stopwords - Default is Yes.

  • Language for Stopwords - By default it is automatically selected based on the content of the text.

  • Additional Stopwords - Words to be added to the default set of stopwords.

  • Exclude from Stopwords - Words to be excluded from the default set of stopwords.

  • Words To Be Treated As One Word - If a word or phrase that should be treated as one token is separated into multiple tokens, it can be fixed by specifying the word/phrase here.

  • Remove Punctuations

  • Remove Numbers

  • Clean Up Twitter Data - Whether to remove hashtag (starts with #) and mention (starts with @). The default is No.

  • Remove Hiragana Only Words - You can treat often meaningless short Japanese Hiragana words as stopwords altogether by selecting an option here.

  • Column Name for Output Data - The default is "token". Set a column name for the new column to store the tokenized values.

  • Format for Output Data - Format for the output tokens. The default is lowercase.

    • Lowercase

    • Titlecase

    • Uppercase

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