| 基于支持向量机的多元文本分类研究 |
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| 引用本文： | 魏新,冯兴杰,刘山.基于支持向量机的多元文本分类研究[J].海军工程大学学报,2004,16(5):30-32. |
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| 作者姓名： | 魏新 冯兴杰 刘山 |
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| 作者单位： | 中国民航学院,天津,300300 |
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| 摘 要： | 根据文本分类的特点,在对最小二乘支持向量机方法进行详细分析的基础上,创建了基于最小二乘支持向量机的多元文本分类器.实验表明,采用该文本分类器能够在保持较高分类精度和召回率的基础上,提高训练效率,具有一定的可行性.
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| 关 键 词： | 支持向量机 文本分类 最小二乘支持向量机 |
| 文章编号： | 1009-3486(2004)05-0030-03 |
| 修稿时间： | 2004年4月25日 |
Study on multiclass text categorization based on support vector machine |
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| WEI Xin,FENG Xing-jie,LIU Shan.Study on multiclass text categorization based on support vector machine[J].Journal of Naval University of Engineering,2004,16(5):30-32. |
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| Authors: | WEI Xin FENG Xing-jie LIU Shan |
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| Abstract: | According to the particular property of text categorization, this paper carefully analyzes the theory of least squares support vector machine and constructs a multiclass text classifier based on least squares support vector machine. The experiments show that this classifier can improve the training efficiency and preserve the high precision and recall. This method of multiclass text categorization is workable. |
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| Keywords: | support vector machine text categorization least squares support vector machine |
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