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Happy-Chen-CH /text_classification

A Chinese news headline classification benchmark: 200K labeled samples across 10 categories. Covers 4 approaches — TF-IDF+RandomForest, FastText, BERT fine-tuning+int8 quantization, and knowledge distillation (BERT→TextCNN) — spanning classical ML to model compression, with Flask RESTful API.

$ git clone https://github.com/Happy-Chen-CH/text_classification.git
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Language
Python
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Created
Jun 3, 2026
0.3 years old
Last push
Jun 22, 2026

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