Automate Sentiment Analysis of New GCS Objects and Store Results in Firestore
Automatically perform sentiment analysis on new objects in a Google Cloud Storage bucket using Google Natural Language API and save the analysis results in Google Cloud Firestore.
This workflow streamlines the process of analyzing text data stored in Google Cloud Storage. By leveraging the Google Natural Language API, it performs sentiment analysis on new files as they are added to a specified bucket. The results, including sentiment magnitude and score, are then stored in a Firestore database, allowing for easy retrieval and further analysis.
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How to import this workflow into Make
- 1Purchase or download the workflow to get the Make blueprint JSON file.
- 2In Make, create a new scenario, click the three-dots menu, and choose "Import Blueprint".
- 3Reconnect each module to your own app connections when prompted.
- 4Run the scenario once to verify it, then set your schedule and turn it on.
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