Character-level Convolutional Network for Text Classification Applied to Chinese Corpus

2016-11-14 · Wei-Jie Huang, Jun Wang

This article provides an interesting exploration of character-level convolutional neural network solving Chinese corpus text classification problem. We constructed a large-scale Chinese language dataset, and the result shows that character-level convolutional neural network works better on Chinese corpus than its corresponding pinyin format dataset. This is the first time that character-level convolutional neural network applied to text classification problem.

📄 PDF Abstract BibTeX arXiv:1611.04358

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koalaGreener/Character-level-Convolutional-Network-for-Text-Classification-Applied-to-Chinese-Corpus 공식 구현 tf

Tasks

Classification General Classification text-classification Text Classification

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