Journal of the Korean Data and Information Science Society

The Korean Data and Information Science Society (한국데이터정보과학회)
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Korean Document Classification using Characteristics of Word Information

  • Kim, Seok-Ki (Department of Computer Science and Statistis, Chonbuk National University) ;
  • Han, Kyung-Soo (Division of Mathematics and Statistical Informatics, Chonbuk National University) ;
  • Ahn, Jeong-Yong (Department of Computer Science and Statistics, Seonam University)
  • Published : 2003.05.31
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Abstract

In document classification, target of analysis is not document itself but words appeared in the document. Word information, therefore, is a significant factor in document classification. In this study, we are dealing with the classification of Korean document based on words and feature vectors. First, we present the performance of document classification using nouns and keywords. Second, we compare to the results for the size of feature vectors.

Keywords

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