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TheophileBlard/french-sentiment-analysis-with-bert
How good is BERT ? Comparing BERT to other state-of-the-art approaches on a French sentiment analysis dataset
156 39 +0/wk
GitHub
bert camembert dataset deep-learning french sentiment-analysis tensorflow transformers
Trend
0
Star & Fork Trend (18 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
TheophileBlard/french-sentiment-analysis-with-bert has +0 stars this period . Velocity data will be available after more historical data is collected.
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Signal-backed technical analysis will be available soon.
| Metric | french-sentiment-analysis-with-bert | machine-learning-interview-questions | GeoEstimation | cordon |
|---|---|---|---|---|
| Stars | 156 | 156 | 156 | 156 |
| Forks | 39 | 32 | 38 | 5 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Jupyter Notebook | Markdown | N/A | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | Apache-2.0 | N/A | Apache-2.0 |
Capability Radar vs machine-learning-interview-questions
french-sentiment-analysis-with-bert
machine-learning-interview-questions
Maintenance Activity 0
Last code push 1148 days ago.
Community Engagement 100
Fork-to-star ratio: 25.0%. 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 MIT. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.