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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.

Google Natural Language
Analyze Entities

Searches entities in the text along with entity types, salience, mentions for each entity, and other properties.

Action
Google Natural Language
Analyze Entity Sentiment

Searches entities in the text and analyzes sentiment associated with each entity and its mentions.

Action
Google Natural Language
Analyze Sentiment

Analyzes the sentiment of the provided text.

Action
Google Natural Language
Analyze Syntax

Analyzes the syntax of the text and provides sentence boundaries and tokenization along with part of speech tags, dependency trees, and other properties.

Action
Google Cloud Firestore
Backup to Google Cloud Storage

Backups documents from Firestore to Google Cloud Storage.

Action
Google Natural Language
Classify a Document

Classifies a document into categories.

Action
Google Cloud Storage
Clone an Object

Clones an object to a specific destination by its ID. Optionally overrides metadata.

Action
Google Cloud Storage
Create a Bucket

Creates a new bucket.

Action
Google Cloud Storage
Create a Bucket's Default Object ACL

Creates a new default object ACL of a bucket by the bucket ID.

Action

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