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VinAIResearch/BERTweet
BERTweet: A pre-trained language model for English Tweets (EMNLP-2020)
606 55 +0/wk
GitHub
bert bertweet bertweet-covid19 covid covid-19 covid19 english english-tweets fairseq irony-detection language-model named-entity-recognition
Trend
0
Star & Fork Trend (39 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
VinAIResearch/BERTweet has +0 stars this period . Velocity data will be available after more historical data is collected.
Deep analysis is being generated for this repository.
Signal-backed technical analysis will be available soon.
| Metric | BERTweet | DensePhrases | AJAX-Movie-Recommendation-System-with-Sentiment-Analysis | Event-Extraction |
|---|---|---|---|---|
| Stars | 606 | 606 | 606 | 605 |
| Forks | 55 | 75 | 470 | 135 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Python | Python | Jupyter Notebook | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | Apache-2.0 | N/A | N/A |
Capability Radar vs DensePhrases
BERTweet
DensePhrases
Maintenance Activity 0
Last code push 626 days ago.
Community Engagement 45
Fork-to-star ratio: 9.1%. Lower fork ratio may indicate passive usage.
Issue Burden 70
Issue data not yet available.
Growth Momentum 30
No measurable growth in the current period (first-day cold start expected).
License Clarity 95
Licensed under MIT. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.