| 基于主题的中文短信文本分类研究 |
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| 引用本文： | 刘金岭.基于主题的中文短信文本分类研究[J].计算机工程,2010,36(4):30-32. |
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| 作者姓名： | 刘金岭 |
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| 作者单位： | 淮阴工学院计算机工程系,淮安,223003 |
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| 基金项目： | 国家自然科学基金资助项目(60632050);;江苏省高校自然科学基金资助项目(06KJD520024);;淮安市科技基金资助项目(HAG09061) |
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| 摘 要： | 根据中文短信文本分类的特点，提出同义概念归并、上下位概念的聚焦以及短信文本重点词汇的确定方法，利用主题句选取算法获取短信文本的主题，采用KNN算法将短信文本的主题进行分类。仿真实验结果表明，该算法能够有效提高短信文本的分类速度。
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| 关 键 词： | 短信文本 KNN算法 主题句 |
| 修稿时间： | |
Study on Chinese Short Message Text Classification Based on Theme |
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| LIU Jin-ling.Study on Chinese Short Message Text Classification Based on Theme[J].Computer Engineering,2010,36(4):30-32. |
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| Authors: | LIU Jin-ling |
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| Affiliation: | (Dept. of Computer Engineering, Huaiyin Institute of Technology, Huaian 223003) |
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| Abstract: | According to characteristics of Chinese short message text categorization, some contents are proposed, such as the synonymy concept merging, the superior concept and sub-concept semantic focusing and using of topic sentences. The algorithm getting theme of short text is used to obtain the text theme. KNN algorithm is also used to classify the short text subject. Simulation experimental results show this algorithm can improve the classification speed of the short text. |
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| Keywords: | short message text KNN algorithm theme sentence |
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