By applying the Naive Bayes algorithm to SMS spam detection, this project seeks to provide a useful tool for cellular phone providers to combat the growing problem of SMS spam. The project will leverage the success of Naive Bayes in email spam filtering and adapt the algorithm to address the unique challenges posed by SMS spam.
active 2024-02-17 → 2024-02-17 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 1 days from 2024-02-17 to 2024-02-17. 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: 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 |
|---|---|---|---|---|
| Seandi23 | 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 — 2 stars here means stars gained during the window, not the repo's star count.