jiegzhan/multi-class-text-classification-cnn
Classify Kaggle Consumer Finance Complaints into 11 classes. Build the model with CNN (Convolutional Neural Network) and Word Embeddings on Tensorflow.
Star & Fork Trend (20 data points)
Multi-Source Signals
Growth Velocity
jiegzhan/multi-class-text-classification-cnn has +0 stars this period . Velocity data will be available after more historical data is collected.
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| Metric | multi-class-text-classification-cnn | Relation-Shape-CNN | Olympus | AutoPentest-DRL |
|---|---|---|---|---|
| Stars | 426 | 425 | 427 | 427 |
| Forks | 195 | 73 | 72 | 112 |
| Weekly Growth | +0 | -1 | +0 | -1 |
| Language | Python | Python | Python | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | Apache-2.0 | MIT | N/A | BSD-3-Clause |
Capability Radar vs Relation-Shape-CNN
Last code push 2937 days ago.
Fork-to-star ratio: 45.8%. Active community forking and contributing.
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.
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