richliao/textClassifier resource

Health v2 · maintenance only

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1077 stars · 372 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A Python repository implementing text classification models including Hierarchical Attention Networks, CNNs for sentence classification, and attentional RNNs using Keras. It serves primarily as reference/educational code accompanying blog posts explaining the architectures.

Use cases

• classify documents with hierarchical attention networks
• implement attention-based text classification in keras
• learn how hierarchical attention networks work
• train a sentiment classifier on IMDB reviews
• extract attention weights to find important words for classification
• compare CNN vs RNN text classifiers

When to choose

• learning or teaching attention-based text classification architectures
• need a reference implementation of HAN in Keras
• following the author's blog tutorials on text classification

When to avoid

• need a production-ready or maintained text classification library
• require modern TensorFlow/PyTorch or Python 3 support
• need state-of-the-art transformer-based classifiers

Facets

learning-resource · maturity maintenance

machine-learning nlp machine-learning deep-learning python text-classification hierarchical-attention-networks attention-mechanism keras lstm cnn sentiment-analysis educational-code natural-language-processing

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For agents

markdown · JSON · MCP: product_card(name="richliao/textClassifier")