BF
howardhsu/BERT-for-RRC-ABSA
code for our NAACL 2019 paper: "BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysis"
465 111 +0/wk
GitHub
bert reading-comprehension sentiment-analysis
Trend
0
Star & Fork Trend (19 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
howardhsu/BERT-for-RRC-ABSA 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 | BERT-for-RRC-ABSA | decagon | vestige | BERT-for-Sequence-Labeling-and-Text-Classification |
|---|---|---|---|---|
| Stars | 465 | 469 | 471 | 471 |
| Forks | 111 | 152 | 42 | 96 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Python | Jupyter Notebook | Rust | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | Apache-2.0 | MIT | AGPL-3.0 | Apache-2.0 |
Capability Radar vs decagon
BERT-for-RRC-ABSA
decagon
Maintenance Activity 0
Last code push 1889 days ago.
Community Engagement 100
Fork-to-star ratio: 23.9%. Active community forking and contributing.
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 Apache-2.0. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.