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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.
Bulk Create Records (advanced)
Сreates multiple records.
Search
Bulk Delete Records (advanced)
Deletes multiple records.
Action
Bulk Update Records (advanced)
Updates multiple existing records.
Search
Bulk Upsert Records (advanced)
Upserts multiple records.
Search
Classify Text
Classifies the text with a given classifier.
Action
Create a Classifier
Creates a new classifier.
Action
Create a Record
Creates a new record in Airtable.
Action
Delete a Classifier
Deletes a classifier.
Action
Delete a Record
Deletes a record by its ID.
Action
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