Research on Automatic Classification Based on Term Context Relations
基于词语上下文关系的文本自动分类方法研究

In this paper,a term context vector is used to represent the relation between a term and its context terms.Based on term context vectors,class feature vectors of a classifier,and the document vector of the document to be classified are generated,and then the document is classified.The experiment shows that adding term context relations into class feature vector and document vector can improve the classification effect.