A Document Classification System Using Modified ECCD and Category Weight for each Document


The KIPS Transactions:PartB , Vol. 19, No. 4, pp. 237-242, Aug. 2012
10.3745/KIPSTB.2012.19.4.237,   PDF Download:

Abstract

Web information service needs a document classification system for efficient management and conveniently searches. Existing document classification systems have a problem of low accuracy in classification, if a few number of feature words is selected in documents or if the number of documents that belong to a specific category is excessively large. To solve this problem, we propose a document classification system using ``Modified ECCD`` feature selection method and ``Category Weight for each Document``. Experimental results show that the ``Modified ECCD`` feature selection method has higher accuracy in classification than  and the ECCD method. Moreover, combining the ``Category Weight for each Document`` feature value and ``Modified ECCD`` feature selection method results better accuracy in classification.


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Cite this article
[IEEE Style]
S. W. Lee, C. S. Han, S. Y. Park, "A Document Classification System Using Modified ECCD and Category Weight for each Document," The KIPS Transactions:PartB , vol. 19, no. 4, pp. 237-242, 2012. DOI: 10.3745/KIPSTB.2012.19.4.237.

[ACM Style]
Soo Won Lee, Chung Seok Han, and Sang Yong Park. 2012. A Document Classification System Using Modified ECCD and Category Weight for each Document. The KIPS Transactions:PartB , 19, 4, (2012), 237-242. DOI: 10.3745/KIPSTB.2012.19.4.237.