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New Technology of Library and Information Service  2005, Vol. 21 Issue (12): 44-47    DOI: 10.11925/infotech.1003-3513.2005.12.10
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Research on Two Classes Text Categorization Method Based on an Improved Support Vector Machine
Ying Wei1   Wang Zhengou1   An Jinlong2
1 (Institute of Systems Engineering, Tianjin University, Tianjin 300072, China)
2 (Hebei University of Technology, Tianjin 300130, China)
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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.

Key wordsText categorization      Support Vector Machines(SVM)      Pre-extracting support vectors      Fuzzy circulated iterative algorithm     
Received: 29 August 2005      Published: 25 December 2005


Corresponding Authors: Ying Wei     E-mail:
About author:: Ying Wei,Wang Zhengou,An Jinlong

Cite this article:

Ying Wei,Wang Zhengou,An Jinlong. Research on Two Classes Text Categorization Method Based on an Improved Support Vector Machine. New Technology of Library and Information Service, 2005, 21(12): 44-47.

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