| 基于突发事件新闻网页的文本分类方法研究 |
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| 引用本文： | 王昌厚,罗永莲.基于突发事件新闻网页的文本分类方法研究[J].长治学院学报,2006,23(2):34-35. |
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| 作者姓名： | 王昌厚 罗永莲 |
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| 作者单位： | 晋中学院,山西,晋中,030600 |
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| 摘 要： | 从对突发事件新闻结构特点的分析出发,进行了特定领域文本分类方法的探讨。其中根据文本特点,摒除信息量小的部分,将标题、首部等作为标引源,提高了分类速度。在特征抽取中综合考虑字与词对于文本分类的作用,提高了分类精度。
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| 关 键 词： | 文本分类 突发事件新闻 特征抽取 特征组合 |
| 文章编号： | 1673-2014(2006)02-0034-02 |
| 收稿时间： | 12 22 2005 12:00AM |
| 修稿时间： | 2005年12月22 |
Study on Text Classification Method Based on Accident News Webpage |
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| WANG Chang-hou,LUO Yong-lian.Study on Text Classification Method Based on Accident News Webpage[J].Journal of Changzhi University,2006,23(2):34-35. |
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| Authors: | WANG Chang-hou LUO Yong-lian |
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| Institution: | Department of Computer Science, Jinzhong College, Jinzhong, Shanxi, China,030600 |
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| Abstract: | This paper discusses the special domain text classification method by analyzing the news structure of accident. It gets rid of the part that is not important according to the text characteristics and improves the speed of classification by using title and heading as source of reference. It improves the precision of classification by the integration of Chinese character feature and word feature in feature extraction. |
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| Keywords: | text classification accident news feature extraction feature combination |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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