yongyehuang/zhihu-text-classification
A 6th-place solution for the 2017 Zhihu multi-label text classification competition using deep learning models.
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This repository contains a complete deep learning solution for multi-label Chinese text classification built with TensorFlow. It implements LSTM and TextCNN architectures using word2vec embeddings, includes data preprocessing pipelines, model training and evaluation code, and ensemble methods combining multiple models. The project won 6th place in the Zhihu Kanshan Cup competition.
Frequently asked
- What is yongyehuang/zhihu-text-classification?
- A 6th-place solution for the 2017 Zhihu multi-label text classification competition using deep learning models.
- Is zhihu-text-classification open source?
- Yes — yongyehuang/zhihu-text-classification is an open-source project tracked on heatdrop.
- What language is zhihu-text-classification written in?
- yongyehuang/zhihu-text-classification is primarily written in Jupyter Notebook.
- How popular is zhihu-text-classification?
- yongyehuang/zhihu-text-classification has 404 stars on GitHub.
- Where can I find zhihu-text-classification?
- yongyehuang/zhihu-text-classification is on GitHub at https://github.com/yongyehuang/zhihu-text-classification.