In this exercise we will explore some basic word association mining techniques. The example corpus contains 180 movie reviews, eact text file (review) written by one of two reviewers. The first 80 were written by Berardinelli and the remaining were by Schwartz.
active 2025-03-18 → 2025-03-25 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 8 days from 2025-03-18 to 2025-03-25. Pushes: 5 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 |
|---|---|---|---|---|
| NRSchaaf | 5 | 5 | 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.