| 一种基于词上下文向量的文本自动分类方法 |
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| 引用本文： | 郭少友.一种基于词上下文向量的文本自动分类方法[J].情报科学,2008,26(7). |
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| 作者姓名： | 郭少友 |
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| 作者单位： | 郑州大学,信息管理系,河南,郑州,450001 |
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| 摘 要： | 分析了传统文本自动分类方法的不足、词上下文向量的含义及其在自动分类中的作用，提出了一种基于词上下文向量的文本自动分类方法，该方法利用词上下文向量来生成分类器的类别中心向量和待分类文本的文本向量，使分类质量有所提高。
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| 关 键 词： | 自动分类 上下文 词上下文向量 分类器 文本表示 |
A Text Automatic Classification Method Based on Term Context Vectors |
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| GUO Shao-you.A Text Automatic Classification Method Based on Term Context Vectors[J].Information Science,2008,26(7). |
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| Authors: | GUO Shao-you |
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| Institution: | GUO Shao-you(Department of Information Management,Zhengzhou University,Zhengzhou,450001,China) |
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| Abstract: | This paper analyzed the shortcoming of traditional text classification methods,the meaning of term context vectors and its effect in text automatic classification.An automatic classification method based on term context vectors was presented,which could improve the classification quality by generating class centriod vectors of a classifier and the text vector of the text to be classified. |
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| Keywords: | automatic classification context term context vector classifier text representation |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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