Journal of East China Normal University(Natural Sc ›› 2013, Vol. 2013 ›› Issue (3): 209-218.

• Article • Previous Articles    

Text classification based on inter-class separability DAG-SVM

HUANG Zhen-long, ZHENG Jun, HU Wen-xin   

  1. Computer Center, East China Normal University, Shanghai 200062, China
  • Received:2012-05-01 Revised:2012-08-01 Online:2013-05-25 Published:2013-07-10

Abstract: This paper took an improved algorithm based on inter-class separability directed acyclic graph support vector machine (DAG-SVM) for text classification.The method has adjusted the DAG structure according to inter-class distribution and the distance between centers. It has solved the problems of fixed structure and random single node location in traditional DAG-SVM multi-classification method.The experiments show that the algorithm has improved the accuracy.

Key words: text classification, support vector machine, DAG-SVM, inter-class separability

CLC Number: