Analyze new GCS objects with Google Natural Language and save the results in Firestore
Analyze new GCS objects with Google Natural Language and save the results in Firestore
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Every time an object is created in a specified Google Cloud Storage bucket, Make will automatically analyze its content (sentiment analysis). Then, the results are saved in your Firestore database.
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Create custom workflows by choosing triggers, actions, and searches. A trigger is an event that launches the workflow, an action is the event.
Searches entities in the text along with entity types, salience, mentions for each entity, and other properties.
Searches entities in the text and analyzes sentiment associated with each entity and its mentions.
Analyzes the sentiment of the provided text.
Analyzes the syntax of the text and provides sentence boundaries and tokenization along with part of speech tags, dependency trees, and other properties.
Backups documents from Firestore to Google Cloud Storage.
Classifies a document into categories.
Clones an object to a specific destination by its ID. Optionally overrides metadata.
Creates a new bucket.
Creates a new default object ACL of a bucket by the bucket ID.
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