Research on Chinese Text Classification Algorithm based on Convolutional Neural Network

摘要

Various information in the era of Internet big data has shown an "explosive" growth, and mining useful information from text data information is one of natural language processing content. In addition to major breakthroughs in image recognition, deep learning convolutional neural networks can also be applied to text classification. Taking Chinese data as the research object, a new text classification model is constructed by using the CNN algorithm and the jump-gram combination of convolutional neural networks. At the same time, the traditional Pinyin classification methods are compared. Through simulation experiments, it is proved that the CNN algorithm has a good effect on text classification, and its classification accuracy is as high as 88%.