Document classification algorithm based on IB and LS-SVM

Authors:
Ziqiang Wang;Xia Sun
Affiliations:
School of Information Science and Engineering, Henan University of Technology, Zhengzhou, China;School of Information Science and Engineering, Henan University of Technology, Zhengzhou, China
Venue:
IITA'09 Proceedings of the 3rd international conference on Intelligent information technology application
Year:
2009

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Abstract

Document classification has received extensive attention in the past few decades due to its wide applications in many fields. To efficiently deal with this problem, a novel document classification algorithm based on information bottleneck (IB) and least square version of SVM(LS-SVM) is proposed in this paper. Extensive experimental results on the real-word document corpus show that the proposed algorithm achieves much better performance than SVM algorithm.