Abstract
In view of the current problems in the field of Chinese news, such as chaotic news data and lack of automatic and efficient management, most of the existing Chinese text classification methods take word characteristics as the basic unit of text representation, but ignore the beneficial performance of character characteristics. In this paper, an automatic classification method of Chinese news based on character-level convolutional neural networks(char-CNN) is proposed. In order to compare with traditional models and deep learning models, we constructed a large scale Chinese news corpus to show that character-level convolutional neural networks could achieve the most advanced or competitive results.
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