Docs / source reviewed
Commentlab
Analyze YouTube comment attitudes with conversation context
How this project uses Jev
- Input
- Public comments and replies, bounded parent and same-thread mention context, and video metadata
- Jev decides
- Classify support, hostility, constructive or informational discussion, and mixed attitudes, with a choice among bounded explanation labels
- Code executes
- Collect comments, aggregate author tendencies, filter threads and export CSV; opinion grouping and summaries use local heuristics
Evidence and limitations
Without model configuration, limited local word rules are labeled as such; configured API failures do not silently become model results. Comments go to TypeSafe and collection depends on unofficial public endpoints. Repetition signals do not prove bot activity. Collection and classification were not independently run.
This project has not been run independently here. Author-reported results are not independently verified results.
Original sources
- https://github.com/weemiles/commentlab/blob/446b827fc2aa12320baa9bb5f490e62145942e95/README.md ↗
- https://github.com/weemiles/commentlab/blob/446b827fc2aa12320baa9bb5f490e62145942e95/lib/jev-sentiment.js ↗
- https://github.com/weemiles/commentlab/blob/446b827fc2aa12320baa9bb5f490e62145942e95/lib/analyze-video.js ↗