Chinese-Text-Classification-Pytorch

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5728 stars · 1254 forks observed · 2026-08-28

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

A PyTorch-based collection of ready-to-run Chinese text classification models including TextCNN, TextRNN, FastText, TextRCNN, BiLSTM with attention, DPCNN, and Transformer, plus a companion repo with BERT/ERNIE classifiers. It ships with a 200k-sample THUCNews news headline dataset across 10 categories and works out of the box.

Use cases

• classify chinese news headlines into categories
• train a textcnn model on chinese text
• compare text classification model architectures in pytorch
• fine-tune bert for chinese text classification
• run text classification experiments on thucnews dataset
• learn how text classification models work in pytorch

When to choose

• you need a working baseline for Chinese text classification with minimal setup
• you want to benchmark classic architectures like TextCNN, TextRNN, or DPCNN
• you want a labeled Chinese dataset to experiment with

When to avoid

• you need multilingual or non-Chinese text classification
• you need production-grade training pipelines with modern tooling
• you need actively maintained code - the last release was 2020

Facets

library · maturity maintenance

machine-learning nlp deep-learning machine-learning deep-learning python text-classification pytorch chinese-nlp textcnn bilstm transformer bert thucnews natural-language-processing

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