Research on Feature Selection Method in Chinese Text Automatic Classification

摘要

This paper introduced the importance and workflow of Chinese web page classification. It studied the defects of chi-square statistic algorithm and improved it. At last, it verified the improved chi-square statistic algorithm combined with Bayes algorithm through a series of experiments. The experimental results show that the improved algorithm improved the accuracy of Chinese web page classification.