This is a machine learning project which primarily uses scikit-learn to build and train models to systematically determine the mood expressed in texts.
active 2023-09-16 → 2024-01-20 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 127 days from 2023-09-16 to 2024-01-20. Pushes: 23 total, peak 20 in a day. Pull requests: 14 total, peak 10 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 3 total, peak 2 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 |
|---|---|---|---|---|
| ImranIF | 37 | 23 | 14 | 0 |
Recent activity
Latest issues, pull requests and releases
- Pull request#7ImranIF2023-10-08 08:52
- Pull request#7ImranIF2023-10-08 08:52
- Pull request#6ImranIF2023-10-08 06:13
- Pull request#6ImranIF2023-10-08 06:11
- Pull request#5ImranIF2023-10-08 05:33
- Pull request#5ImranIF2023-10-08 05:33
- Pull request#4ImranIF2023-10-08 04:57
- Pull request#4ImranIF2023-10-08 04:57
- Pull request#3ImranIF2023-10-08 04:38
- Pull request#3ImranIF2023-10-08 04:38
- Pull request#2ImranIF2023-10-07 19:47
- Pull request#2ImranIF2023-10-07 19:46
- Pull request#1ImranIF2023-09-21 13:51
- Pull request#1ImranIF2023-09-21 13:51
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 3 stars here means stars gained during the window, not the repo's star count.