Abdulraqib20/Computer-Engineering-Students-Sentiments-Analyzer-App
View on GitHub ↗Related repositories →This web app is a sentiment analysis tool developed by raqibcodes. It has the capability of detecting whether user-entered text has an underlying Positive, Neutral or Negative sentiment. The text classification model was trained on Feedback survey data collected from 300 level Undergraduate Computer Engineering Students at the University of Ilorin
active 2023-12-07 → 2024-12-17 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 377 days from 2023-12-07 to 2024-12-17. Pushes: 164 total, peak 48 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: 1 total, peak 1 in a day.
- Pushes
- Pull requests
- Issues
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- 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 |
|---|---|---|---|---|
| Abdulraqib20 | 164 | 164 | 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 — 1 stars here means stars gained during the window, not the repo's star count.