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 entity from document - Extract an entity (person, organization, or location) from a document	File URL - Enter the URL of the file to extract the entities from Warning Extracts plain text from binary documents such as .doc, .docx, .pdf, and .odt	URL

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

Extract entity from document - Extract an entity (person, organization, or location) from a document

File URL - Enter the URL of the file to extract the entities from

Warning Extracts plain text from binary documents such as .doc, .docx, .pdf, and .odt

URL

Checkmark icon, required field

MonkeyLearn

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