Volume 5 Number 10 (Oct. 2010)
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JSW 2010 Vol.5(10): 1137-1143 ISSN: 1796-217X
doi: 10.4304/jsw.5.10.1137-1143

The Chinese Text Categorization System with Category Priorities

Huan-Chao Keh, Ding-An Chiang, Chih-Cheng Hsu, Hui-Hua Huang
Department of Information Engineering, Tamkang University, Taipei, Taiwan

Abstract—The process of text categorization involves some understanding of the content of the documents and/or some previous knowledge of the categories. For the content of the documents, we use a filtering measure for feature selection in our Chinese text categorization system. We modify the formula of Term Frequency-Inverse Document Frequency (TF-IDF) to strengthen important keywords’ weights and weaken unimportant keywords’ weights. For the knowledge of the categories, we use category priority to represent the relationship between two different categories. Consequently, the experimental results show that our method can effectively not only decrease noise text but also increase the accuracy rate and recall rate of text categorization.

Index Terms—text categorization, feature selection, filtering measure, text mining.

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Cite: Huan-Chao Keh, Ding-An Chiang, Chih-Cheng Hsu, Hui-Hua Huang, "The Chinese Text Categorization System with Category Priorities," Journal of Software vol. 5, no. 10, pp. 1137-1143, 2010.

General Information

ISSN: 1796-217X (Online)
Frequency: Monthly
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, ProQuest, INSPEC, ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsw@iap.org
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