| LSI和kNN相结合的文本分类模型研究 |
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| 引用本文： | 王天江,叶卫国,卢正鼎,李永平.LSI和kNN相结合的文本分类模型研究[J].华中科技大学学报(自然科学版),2004,32(4):59-60,86. |
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| 作者姓名： | 王天江 叶卫国 卢正鼎 李永平 |
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| 作者单位： | 华中科技大学计算机科学与技术学院,湖北,武汉,430074;国家药品监督管理局,北京,100810 |
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| 基金项目： | 国家高性能计算基金资助项目 (0 0 30 3) |
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| 摘 要： | 针对传统文本分类系统的不足，提出了一种基于隐含语义索引的kNN的文本分类模型。该方法既充分利用了向量空间模型在表示方法上的巨大优势，又弥补了其忽略语义的不足，具备一定的理论和现实意义。
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| 关 键 词： | 文本分类 k最邻参照法 隐含语义索引 奇异值分解 |
| 文章编号： | 1671-4512(2004)04-0059-02 |
| 修稿时间： | 2003年9月22日 |
Text classification based on integrating LSI with k-nearnest neighbor |
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| Wang Tianjiang Ye Weiguo Lu Zhengding Li Yongping Associate Prof., College of Computer Sci. & Tech..,Huazhong Univ. of Sci. & Tech.,Wuhan ,China..Text classification based on integrating LSI with k-nearnest neighbor[J].JOURNAL OF HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY.NATURE SCIENCE,2004,32(4):59-60,86. |
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| Authors: | Wang Tianjiang Ye Weiguo Lu Zhengding Li Yongping Associate Prof College of Computer Sci & Tech Huazhong Univ of Sci & Tech Wuhan China |
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| Institution: | Wang Tianjiang Ye Weiguo Lu Zhengding Li Yongping Associate Prof., College of Computer Sci. & Tech..,Huazhong Univ. of Sci. & Tech.,Wuhan 430074,China. |
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| Abstract: | Because of the deficiency of traditional classification system,the text classification based on integrating k -nearest neighbor with latent semantic indexing was proposed. It took the advantage of abundant expression in Vector Space Model (VSM) and made up the shortage of less semantic information in VSM. The new scheme has significance both in theory and practice. |
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| Keywords: | text classification k-nearnest neighbor latent semantic indexing singular value decomposition |
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