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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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Abstract 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.
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Received: 29 August 2005
Published: 25 December 2005
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Corresponding Authors:
Ying Wei
E-mail: nobertying@126.com
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| About author:: Ying Wei,Wang Zhengou,An Jinlong |
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