A Web Page Classification Algorithm Based on Feature Selection

摘要

Massive relative information about the locations and distributions of feature words on web page is ignored in traditional web page classification algorithms. This paper gives a new feature selection method integrating with intra-class distribution ratio and inter-class deviation. Based on this, it proposes a new web page classification algorithm. The experimental results show it can improve the accuracy of classification greatly compared with traditional TFIDF and GA algorithm.