This project is part of the PMDL subject at Innopolis University. It focuses on Natural Language Processing (NLP) using Twitter data to classify messages during emergencies. The competition aims to develop a model that can programmatically identify disaster-related tweets to assist agencies such as disaster relief organizations and news outlets.
active 2024-09-18 → 2024-11-01 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 45 days from 2024-09-18 to 2024-11-01. Pushes: 64 total, peak 10 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 |
|---|---|---|---|---|
| IVproger | 45 | 45 | 0 | 0 |
| AlexeyShulmin | 10 | 10 | 0 | 0 |
| mazik-maz | 9 | 9 | 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.