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.