Real-time Analytics
Metrics and performance data for Empatia
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About This Extension
Real-time analysis of your social media comments to identify emotional content.
Empatia provides real-time analysis of social media comments to identify emotional content and deliver inline feedback. Think of this feedback as a way to double check how you communicate on social media. Sometimes we write a comment that we'll regret writing, or regret writing the way we wrote it - I hope Empatia can help with that.
This project was primarily built as a learning experience. Suggestions for fixes and improvements are welcome.
Currently available to run on Reddit, BlueSky, and Twitter (X).
Getting Started
Select supported sites: Choose which sites (Reddit, Bluesky, or Twitter) Empatia will run on.
Adjust sensitivity: Set the sensitivity for emotional feedback (higher sensitivity will detect negative emotions with a lower threshold).
Set the minimum word count you want there to be before Empatia starts analyzing the text.
Write a comment or post: As you type, Empatia sends your text through sentiment analysis to assess its emotional polarity.
Positive feedback: Receive messages encouraging positive interactions if your comment is classified as positive.
Negative feedback: If your comment is negative, the system classifies the emotion and provides specific feedback (anger, annoyance, disgust, sadness, generic).
Letter e icons created by arnikahossain - Flaticon
Screenshots
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Technical Information
- Size
- 33.12KiB
- Languages
- 1 supported
- Extension ID
- jpbmjdgoahbi...
Links & Resources
Version History
1.1
Current Version
Latest
12/06/2024
1.0
Previous Version
11/06/2024
1.-1
Older Version
10/07/2024
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