In this project, I'll visualize text data using WordCloud, employ the LDA model for topic modeling, and compute coherence scores to assess the model's quality and find the optimal number of topics. I'll create an interactive visualization with pyLDAvis, saving it as an HTML link for exploration.
active 2023-11-04 → 2023-11-04 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 1 days from 2023-11-04 to 2023-11-04. Pushes: 11 total, peak 11 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 |
|---|---|---|---|---|
| Talia178 | 11 | 11 | 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.