zhanlaoban/Text_Classification

Summary of Text Classification in deep learning techniques implemented by PyTorch and TensorFlow. 深度学习文本分类技术总结,以PyTorch实现。

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This project helps developers working with Chinese natural language processing to categorize text documents. It provides ready-to-use implementations of various deep learning models for text classification. You input Chinese text data, and it outputs trained models that can assign text to predefined categories like 'sports,' 'finance,' or 'education'. This is designed for NLP engineers or researchers who need to benchmark and apply different text classification techniques.

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Use this if you are a developer or researcher looking for pre-implemented deep learning models to classify Chinese text and want to compare their performance.

Not ideal if you are a business user looking for an out-of-the-box text classification tool without coding, or if your primary language is not Chinese.

natural-language-processing machine-learning-development chinese-text-analysis deep-learning-engineering text-categorization
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 5 / 25
Maturity 8 / 25
Community 14 / 25

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Python

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Last pushed

Dec 18, 2019

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