yongzhuo/Keras-TextClassification
A Keras NLP library for Chinese text classification implementing FastText, TextCNN, TextRNN, BERT, transformer encoders, and other deep learning architectures.
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The library provides reusable embedding layers and graph/network building blocks for text classification tasks including long-text classification, short-sentence classification, and multi-label classification. It implements over 15 model architectures ranging from classic methods like FastText and TextCNN to modern transformer-based approaches including BERT, Albert, and Xlnet, with support for techniques like attention, capsule networks, and hierarchical attention networks.
Frequently asked
- What is yongzhuo/Keras-TextClassification?
- A Keras NLP library for Chinese text classification implementing FastText, TextCNN, TextRNN, BERT, transformer encoders, and other deep learning architectures.
- Is Keras-TextClassification open source?
- Yes — yongzhuo/Keras-TextClassification is open source, released under the MIT license.
- What language is Keras-TextClassification written in?
- yongzhuo/Keras-TextClassification is primarily written in Python.
- How popular is Keras-TextClassification?
- yongzhuo/Keras-TextClassification has 1.8k stars on GitHub.
- Where can I find Keras-TextClassification?
- yongzhuo/Keras-TextClassification is on GitHub at https://github.com/yongzhuo/Keras-TextClassification.