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An efficient feature selection using multi-criteria in text categorization

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2 Author(s)
Doan, S. ; Graduate Sch. of Inf. Sci., Japan Adv. Inst. of Sci. & Technol., Ishikawa, Japan ; Horiguchi, S.

Text categorization is a problem of assigning a document into one or more predefined classes. One of the most interesting issues in text categorization is feature selection. This paper proposes a novel approach in feature selection based on multicriteria ranking of features. Based on a threshold value for each criterion, a new procedure for feature selection is proposed and applied to a text categorization. Experiments dealing with the Reuters-21578 benchmark data and the naive Bayes algorithm show that the proposed approach outperforms performances in compare to conventional feature selection methods.

Published in:

Hybrid Intelligent Systems, 2004. HIS '04. Fourth International Conference on

Date of Conference:

5-8 Dec. 2004

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