Umair-Farooque/Sentiment-Analysis-and-Text-Generator-Using-Twitter-data
View on GitHub ↗Related repositories →This project is of Natural Language Processing in which we used twitter data to train model to analyze the sentiments of a sentence. With a functionality of predicting next word provided a context word or group of words.
active 2025-01-23 → 2025-01-25 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 3 days from 2025-01-23 to 2025-01-25. Pushes: 12 total, peak 12 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: 2 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 |
|---|---|---|---|---|
| Umair-Farooque | 12 | 12 | 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 — 2 stars here means stars gained during the window, not the repo's star count.