feat: Add Sentiment Analysis feature #2185
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This commit introduces a new Sentiment Analysis block and related functionalities.
Key features:
- **New "Sentiment Analysis" Block:** Allows you to analyze the sentiment (positive, negative, neutral) of text within a Typebot flow, typically from your input.
- **Backend Service:** Integrates with the Google Cloud Natural Language API to perform sentiment detection. Includes error handling and returns a structured output (label, score, detected language).
- **Frontend Configuration Panel:** Provides a user-friendly interface in the Typebot builder to configure the block, including selecting the input text variable and language settings (auto-detect or specify).
- **Analytics Integration:**
- Sentiment data (label, score) is stored with results.
- New API endpoints provide aggregated sentiment data.
- A new "Sentiment" section in the Analytics dashboard displays overall sentiment distribution (pie chart) and trends over time (line chart).
- Individual results view can display sentiment indicators.
- Results can be filtered by sentiment label.
- **Documentation:** Comprehensive documentation added for the new block, its configuration, use cases, and analytics features.
- **Unit Tests:** Backend tests for the sentiment analysis service (mocking the Google API) and frontend tests for the configuration panel UI and logic have been added.
This feature enables you to build more emotionally intelligent chatbots, gain deeper insights into your satisfaction, and tailor conversation flows based on detected sentiment.
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This commit introduces a new Sentiment Analysis block and related functionalities.
Key features:
This feature enables you to build more emotionally intelligent chatbots, gain deeper insights into your satisfaction, and tailor conversation flows based on detected sentiment.