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.

426 195 +0/wk

GitHub

cnn convolutional-neural-networks embeddings multi sentence-classification tensorflow text-classification

Trend 0

Star & Fork Trend (21 data points)

Stars

Forks

Multi-Source Signals

GitHub

stars 426

forks 195

Growth Velocity

jiegzhan/multi-class-text-classification-cnn 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	multi-class-text-classification-cnn	AutoPentest-DRL	Relation-Shape-CNN	Olympus
Stars	426	427	425	427
Forks	195	112	73	72
Weekly Growth	+0	+0	+0	+0
Language	Python	Python	Python	Python
Sources	1	1	1	1
License	Apache-2.0	BSD-3-Clause	MIT	N/A

Capability Radar vs AutoPentest-DRL

multi-class-text-classification-cnn

AutoPentest-DRL

Maintenance Activity 0

Last code push 2937 days ago.

Community Engagement 20

Fork-to-star ratio: 45.8%. 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.