The Sentiment-Based PDF Highlighter is a Flask web app that analyzes sentiment in PDF documents and highlights sentences based on emotions. It uses RoBERTa-large and TextBlob for accurate emotion detection, featuring a Drag-and-Drop upload and an instant PDF download with a color-coded legend for emotion mapping.
active 2025-02-15 → 2025-02-15 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 1 days from 2025-02-15 to 2025-02-15. Pushes: 4 total, peak 4 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 in a day.
- Pushes
- Pull requests
- Issues
- Comments
- Stars
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| A-R007 | 4 | 4 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
No issue or PR events — this repo's activity is pushes only.
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.