| 种基于改进的支持向量机的两类文本分类方法的研究* |
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| 引用本文： | 应伟,王正欧,安金龙.种基于改进的支持向量机的两类文本分类方法的研究*[J].现代图书情报技术,2005,21(12):44-47. |
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| 作者姓名： | 应伟 王正欧 安金龙 |
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| 作者单位： | 1. 天津大学系统工程研究所,天津,300072
2. 河北工业大学,天津,300130 |
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| 基金项目： | 本文系国家自然科学基金资助项目（No.60275020）. |
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| 摘 要： | 提出了一种基于预抽取支持向量机及模糊循环迭代算法的改进的支持向量机(Support Vector Machines,SVM)的两类文本分类方法, 与传统的SVM相比, 该方法具有高得多的计算效率。文中给出了具体算法并将其用于文本分类中，实验表明了本算法用于文本分类的有效性及其高效率。
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| 关 键 词： | 文本分类 支持向量机 预抽取向量 模糊循环迭代算法 |
| 收稿时间： | 2005-08-29 |
| 修稿时间： | 2005-08-29 |
Research on Two Classes Text Categorization Method Based on an Improved Support Vector Machine |
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| Ying Wei,Wang Zhengou,An Jinlong.Research on Two Classes Text Categorization Method Based on an Improved Support Vector Machine[J].New Technology of Library and Information Service,2005,21(12):44-47. |
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| Authors: | Ying Wei Wang Zhengou An Jinlong |
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| Affiliation: | 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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| Keywords: | Text categorization Support Vector Machines(SVM) Pre-extracting support vectors Fuzzy circulated iterative algorithm |
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