gaussic/text-classification-cnn-rnn resource

Health v2 · maintenance only

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4301 stars · 1456 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

A TensorFlow implementation of Chinese text classification using character-level CNN and RNN models, based on THUCNews data. It serves primarily as an educational reference implementation with detailed documentation of preprocessing, model architecture, and training.

Use cases

• classify Chinese news articles into categories
• learn how to build a CNN for sentence classification in TensorFlow
• train an RNN text classifier on Chinese text
• understand character-level text classification preprocessing
• reproduce textcnn results on THUCNews dataset

When to choose

• learning deep learning text classification with Chinese text
• need a simple, well-documented CNN/RNN classification baseline
• working with TensorFlow 1.x and character-level Chinese input

When to avoid

• production systems needing modern maintained NLP libraries
• projects requiring TensorFlow 2.x or PyTorch
• multilingual or non-Chinese text classification

Facets

learning-resource · maturity maintenance

machine-learning nlp deep-learning machine-learning deep-learning python text-classification cnn rnn chinese tensorflow tensorboard tutorial natural-language-processing

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markdown · JSON · MCP: product_card(name="gaussic/text-classification-cnn-rnn")