MonkeyLearn

Action	Configuration fields	Data type
Extract keywords from text - Extract keywords from a text list	Text list - A list of text, separated by semicolons, to extract the keywords from Example: Juan lives in Mexico; Jane lives in Canada	String
Whitelist - Enter a list of preferred keywords to return instead of the default representation Example: Pricing	String
Blacklist - Enter a list of unwanted keywords to discard Example: Spam	String
Maximum keywords - Enter the maximum number of keywords to extract. The default is 10. Example: 5	String
Lowercase - Indicate whether to format the specified text as lowercase. The default is false.	Choice
Use IDF - Indicate whether to use a language model for computing the Inverse Document Frequency. The default is true.	Choice
Keyword representation - Select how to obtain the canonical representation of a keyword	Choice
Keyword transformation - Select how words are transformed into keyword groups	Choice
Classify text - Specify a model for classifying text	Classifier - Select the classifier to use	Choice
Text list - Enter a comma-separated list of text strings to extract classifying keywords from Example: Juan lives in Mexico, Jane lives in Canada	String
Extract company or organization (English) from text - Extract a company or organization from text in the English language	Text list - Enter a list of text, separated by semicolons, to extract the company or organization names from Example: ChapStick; Kleenex	String
Extract text from HTML - Extract text from an HTML list	HTML list - Enter a list of text formatted as HTML, separated by semicolons, to extract text from For example: <html><body><p>Hello World</p></body></html>; <html><body><p>Goodnight World</p></body></html>	String
Extract email address from text - Extract email addresses from a text list	Text list - Enter a text list, separated by semicolons, to extract email addresses from Example: Hello from jessedoe@example.com; Goodbye from genedoe@example.com	String
Extract location from text - Extract a location from a text list	Text list - Enter a text list, separated by semicolons, to extract the locations from Example: Juan lives in Mexico; Jane lives in Canada	String
Extract person from text - Extract a person from a text list	Text list - Enter a text list, separated by semicolons, to extract the people from Example: Juan Doe lives in Mexico; Jane Doe lives in Canada	String
Extract phone number from text (English) - Extract North American phone numbers from English text and return them with unified formatting	Text list - Enter a text list, separated by semicolons, to extract the phone numbers from Example: For assistance, call (800)555-0100; For information, call (800)555-0199	String

Extract keywords from text - Extract keywords from a text list

Text list - A list of text, separated by semicolons, to extract the keywords from

Example: Juan lives in Mexico; Jane lives in Canada

String

Checkmark icon, required field

Whitelist - Enter a list of preferred keywords to return instead of the default representation

Example: Pricing

String

Blacklist - Enter a list of unwanted keywords to discard

Example: Spam

String

Maximum keywords - Enter the maximum number of keywords to extract. The default is 10.

Example: 5

String

Lowercase - Indicate whether to format the specified text as lowercase. The default is false.

Choice

Use IDF - Indicate whether to use a language model for computing the Inverse Document Frequency. The default is true.

Choice

Keyword representation - Select how to obtain the canonical representation of a keyword

Choice

Keyword transformation - Select how words are transformed into keyword groups

Choice

Classify text - Specify a model for classifying text

Classifier - Select the classifier to use

Choice

Checkmark icon, required field

Text list - Enter a comma-separated list of text strings to extract classifying keywords from

Example: Juan lives in Mexico, Jane lives in Canada

String

Checkmark icon, required field

Extract company or organization (English) from text - Extract a company or organization from text in the English language

Text list - Enter a list of text, separated by semicolons, to extract the company or organization names from

Example: ChapStick; Kleenex

String

Checkmark icon, required field

Extract text from HTML - Extract text from an HTML list

HTML list - Enter a list of text formatted as HTML, separated by semicolons, to extract text from

For example: <html><body><p>Hello World</p></body></html>; <html><body><p>Goodnight World</p></body></html>

String

Checkmark icon, required field

Extract email address from text - Extract email addresses from a text list

Text list - Enter a text list, separated by semicolons, to extract email addresses from

Example: Hello from jessedoe@example.com; Goodbye from genedoe@example.com

String

Checkmark icon, required field

Extract location from text - Extract a location from a text list

Text list - Enter a text list, separated by semicolons, to extract the locations from

Example: Juan lives in Mexico; Jane lives in Canada

String

Checkmark icon, required field

Extract person from text - Extract a person from a text list

Text list - Enter a text list, separated by semicolons, to extract the people from

Example: Juan Doe lives in Mexico; Jane Doe lives in Canada

String

Checkmark icon, required field

Extract phone number from text (English) - Extract North American phone numbers from English text and return them with unified formatting

Text list - Enter a text list, separated by semicolons, to extract the phone numbers from

Example: For assistance, call (800)555-0100; For information, call (800)555-0199

String

Checkmark icon, required field

MonkeyLearn

Actions