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.

Parameters

• 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