Research on Two Classes Text Categorization Method Based on an Improved Support Vector Machine
种基于改进的支持向量机的两类文本分类方法的研究*

This paper puts forward a method of two text categorization classes based on the pre-extracting support vectors and fuzzy circulated iterative algorithm.Compared with the conventional Support Vector Machines(SVM),the present method possesses much higher computation efficiency.This paper gives the concrete procedure of the algorithm,and applies it to the text classification.Experimental results demonstrate the effectiveness and the efficiency of the approach.