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Analyze Airtable data with MonkeyLearn machine learning models

Analyze Airtable data with MonkeyLearn machine learning models

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Every time a new record is added to your Airtable base, Make will automatically analyze its sentiment (positive or negative) with a MonkeyLearn machine learning model. The template uses this example base.

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Create your own workflow

Create custom workflows by choosing triggers, actions, and searches. A trigger is an event that launches the workflow, an action is the event.

MonkeyLearn
Classify Text

Classifies the text with a given classifier.

Action
MonkeyLearn
Create a Classifier

Creates a new classifier.

Action
Airtable
Create a Record

Creates a new record in Airtable.

Action
MonkeyLearn
Delete a Classifier

Deletes a classifier.

Action
Airtable
Delete a Record

Deletes a record by its ID.

Action
MonkeyLearn
Extract Text

Extracts information from the text with a given extractor.

Action
MonkeyLearn
Get a Classifier

Returns information about a classifier including its settings, stats, and tags.

Action
Airtable
Get a Record

Retrieves a single record by its ID.

Action
MonkeyLearn
Get an Extractor

Returns information about an extractor.

Action

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