https://github.com/mongodb-developer/google-cloud-sentiment-chef

Sentiment Analysis, Summarization, Tagging with MongoDB Atlas and Gemini — Google Cloud's AI model
https://github.com/mongodb-developer/google-cloud-sentiment-chef

gemini gemini-pro gemini-pro-vision mongodb mongodb-atlas multimodal-sentiment-analysis

Last synced: 10 days ago
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Sentiment Analysis, Summarization, Tagging with MongoDB Atlas and Gemini — Google Cloud's AI model

• Host: GitHub
• URL: https://github.com/mongodb-developer/google-cloud-sentiment-chef
• Owner: mongodb-developer
• License: apache-2.0
• Created: 2023-06-21T09:24:00.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2024-06-20T08:55:20.000Z (5 months ago)
• Last Synced: 2024-06-20T22:16:22.800Z (5 months ago)
• Topics: gemini, gemini-pro, gemini-pro-vision, mongodb, mongodb-atlas, multimodal-sentiment-analysis
• Language: TypeScript
• Homepage:
• Size: 206 KB
• Stars: 9
• Watchers: 3
• Forks: 3
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Generative AI Sentiment Analysis and Summarization

This is a demo of a sentiment analysis, tagging, and summarization Gemini — Google's next-generation AI model. 

## Quickstart

### Google Cloud setup

Create two public 2nd generation Cloud Functions with the following implementations.

  1. [Analyze sentiment Google Cloud Function](./google-cloud-functions/analyze-sentiment/)

  1. [Summarize reviews Google Cloud Function](./google-cloud-functions/summarize-review-sentiment/)

Take a note of the deployed functions' URLs. You will need them later.

### MongoDB Atlas setup

  1. Create a [free MongoDB Atlas account](https://mongodb.com/try?utm_campaign=devrel&utm_source=google.cloud&utm_medium=github&utm_content=sentiment.chef&utm_term=stanimira.vlaeva).

  1. Database cluster

    - Deploy a new MongoDB database cluster in your Atlas account. You can use the free M0 tier for this demo.

    - Load the sample dataset.

  1. Data API

    - Enable the Data API for your newly deployed cluster.

    - Set the `readAll` data access rule for the `sample_restaurants.restaurants` collection.

  1. Atlas Functions

    - Create two new Atlas Functions with the following implementations. Replace the URL placeholders with the URls of the deployed Google Cloud Functions.

      - [Analyze sentiment Atlas Function](./atlas-app-services/functions/Atlas_Triggers_analyzeReviewSentiment_1686394580.js)

      - [Summarize reviews Atlas Function](./atlas-app-services/functions/Atlas_Triggers_summarizeReviewsSentiment_1686475894.js)

  1. Atlas Triggers

    - Create two new Atlas Triggers with the following configuration.

      - [Analyze sentiment Atlas Trigger](./atlas-app-services/triggers/analyzeReviewSentiment.json)

      - [Summarize reviews Atlas Trigger](./atlas-app-services/triggers/summarizeReviewsSentiment.json)

## Contributors ✨

  

    

        

            


            Stanimira Vlaeva

        


    

  

## Disclaimer

Use at your own risk; not a supported MongoDB product