Absar69/Sentiment-Analysis-NLP-Pipeline-for-Social-Media-Posts
View on GitHub ↗Related repositories →A comprehensive NLP pipeline for sentiment analysis of Urdu social media posts, classifying sentiments as positive, negative, or neutral. Features include custom preprocessing, Urdu-specific stemming/lemmatization, tokenization, TF-IDF, Word2Vec, and machine learning models. Uses publicly available Urdu datasets.
active 2025-01-27 → 2025-01-27 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 1 days from 2025-01-27 to 2025-01-27. Pushes: 1 total, peak 1 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 |
|---|---|---|---|---|
| Absar69 | 1 | 1 | 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.