Automatic text categorization based on K-nearest neighbor

被引：0
|
作者：
Sun, J. [1 ]
Wang, W. [1 ]
Zhong, Y.-X. [1 ]
机构：
[1] Information Engineering School, Beijing Univ. of Posts and Telecom., Beijing 100876, China
来源：
Beijing Youdian Xueyuan Xuebao/Journal of Beijing University of Posts And Telecommunications | 2001年 / 24卷 / 01期
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摘要：
A method that integrates language information and statistical information from the training corpus is put forward. The weight of these characters is computed from three parameters, word frequency, centralized degree, decentralized degree. After training, we get the vector space model of the text categorization. The classification of the input text is decided by K-nearest-neighbor. The result shows that the method improves the accuracy of the categorization.
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页码：42 / 46
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