Study on Chinese Text Categorization Based on Support Vector Machine
基于支持向量机的中文文本自动分类研究

First we get the feature extraction, then get the text feature sunset by using the similarity of words, last we get text categorization by using the support vector machine, the tests on the true large-scale text are made. The results show that the recall is comparatively low and the precision is comparatively high.