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《Computer Engineering and Applications》 2006-13
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Research of Multi-layer Text Categorization Method Based on SMO

He Jianbing1 He Qing2 Shi Zhongzhi2 1(College of Software Engineering,Graduate School of The Chinese Academy of Sciences,Beijing 100049) 2(The Key Laboratory of Intelligent Information Processing,Institute of Computing Technology, Chinese Academy of Sciences,Beijing 100080)  
In former automatic text categorization research,most of the prevalent classification technologies divided text into several classes in one lever.However,with the increase of quantity of information retrieval,this flat kind organization classification is more and more unsuitable to the information retrieval task with vast information,and it hampers the improvement of the information retrieval speed.This paper tries to adopt SMO algorithm to establish a multi-layer SVM text categorization system.
【Fund】: 国家自然科学基金资助项目(编号:60435010);; 国家863高技术研究发展计划资助项目(编号:2003AA115220);; 中澳科技合作特别基金项目;; 北京市自然科学基金资助项目(编号:4052025)
【CateGory Index】: TP391.1
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【Secondary References】
Chinese Journal Full-text Database 2 Hits
1 HE Hai-bin, SI Jian-hui (College of Mathematics and Computer Science, Hebei University, Baoding 071002, China);Comparative Study on Feature Extraction in Large-scale Text Categorization[J];Computer Knowledge and Technology;2009-21
2 Yang Lihua,Li Baolin(School of Economics and Management,Hubei Automotive Industries Institute,Shiyan 442002,China);Application of SMO Algorithm in Spam Filtering System[J];Journal of Hubei Automotive Industries Institute;2009-01
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