Lan-ce-lot/pythorch-text-classification
对豆瓣影评进行文本分类情感分析,利用爬虫豆瓣爬取评论,进行数据清洗,分词,采用BERT、CNN、LSTM等模型进行训练,采用tensorboardX可视化训练过程,自然语言处理项目\A project for text classification, based on torch 1.7.1
Star & Fork Trend (20 data points)
Multi-Source Signals
Growth Velocity
Lan-ce-lot/pythorch-text-classification 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 | pythorch-text-classification | BERT-pre-training | dspy-go | EuroEval |
|---|---|---|---|---|
| Stars | 171 | 171 | 171 | 173 |
| Forks | 10 | 52 | 14 | 52 |
| Weekly Growth | +0 | +0 | +0 | +1 |
| Language | Python | Python | Go | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | Apache-2.0 | Apache-2.0 | MIT | MIT |
Capability Radar vs BERT-pre-training
Last code push 1123 days ago.
Fork-to-star ratio: 5.8%. Lower fork ratio may indicate passive usage.
Issue data not yet available.
No measurable growth in the current period (first-day cold start expected).
Licensed under Apache-2.0. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.