The primary purpose of this project is to perform sentiment analysis on Amazon India-related tweets. By analyzing the sentiments expressed in tweets, Amazon can gain valuable insights into customer opinions, identify areas for improvement, and proactively address concerns, ultimately enhancing customer satisfaction and brand reputation.
active 2024-01-09 → 2024-01-09 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 1 days from 2024-01-09 to 2024-01-09. 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 |
|---|---|---|---|---|
| AkhilaCodes | 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.