Analyze Airtable data with MonkeyLearn machine learning models
Apps used in template
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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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The Google Sheets module checks for matches between the sender’s email address and the list of client email addresses. If a match is found, the label client_mailbox
is added to the email. More information here.
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.
Classifies the text with a given classifier.
Creates a new classifier.
Creates a new record in Airtable.
Deletes a classifier.
Deletes a record by its ID.
Extracts information from the text with a given extractor.
Returns information about a classifier including its settings, stats, and tags.
Retrieves a single record by its ID.
Returns information about an extractor.
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