CodeNinjaSarthak/https-www.kaggle.com-code-sarthak4156-twitter-sentiment-analysis-with-logisticregression-edit
View on GitHub ↗Related repositories →This project performs Twitter Sentiment Analysis using Logistic Regression to classify tweets as positive or negative. It involves preprocessing tweets, vectorizing text using TF-IDF, and evaluating the model with metrics like accuracy, precision, recall, and F1-score.
active 2024-09-15 → 2024-09-15 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 1 days from 2024-09-15 to 2024-09-15. Pushes: 3 total, peak 3 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 |
|---|---|---|---|---|
| CodeNinjaSarthak | 3 | 3 | 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.