A Study on Development of Automatic Categorization System for Internet Documents 


Vol. 7,  No. 9, pp. 2867-2875, Sep.  2000
10.3745/KIPSTE.2000.7.9.2867


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  Abstract

In this paper, we discuss the implementation of automatic internet text categorization system. A categorization algorithm is designed and the system is implemented by back propagation learning model. Internet documents are collected according to the established categories and tested by Chi-squre() for the document leaning, and the category features are extracted. The sets of learning and separating vector are producted by these features. As a result of experimental evaluation, we show that this system is more improved in the performance of automatic categorization than the nearest neigbor method.

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[IEEE Style]

K. R. Han, B. .. K. .. Sun, S. T. Han, K. W. Rim, "A Study on Development of Automatic Categorization System for Internet Documents," The Transactions of the Korea Information Processing Society (1994 ~ 2000), vol. 7, no. 9, pp. 2867-2875, 2000. DOI: 10.3745/KIPSTE.2000.7.9.2867.

[ACM Style]

Kwang Rok Han, B . K . Sun, Sang Tae Han, and Kee Wook Rim. 2000. A Study on Development of Automatic Categorization System for Internet Documents. The Transactions of the Korea Information Processing Society (1994 ~ 2000), 7, 9, (2000), 2867-2875. DOI: 10.3745/KIPSTE.2000.7.9.2867.

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