A Semantic-Based Feature Expansion Approach for Improving the Effectiveness of Text Categorization by Using WordNet (문서범주화 성능 향상을 위한 의미기반 자질확장에 관한 연구)

Eunkyung Chung (정은경)

doi:10.3743/KOSIM.2009.26.3.261

A Semantic-Based Feature Expansion Approach for Improving the Effectiveness of Text Categorization by Using WordNet

Journal of the Korean Society for Information Management
Abbr : JKOSIM
2009, 26(3), pp.261~278
DOI : 10.3743/KOSIM.2009.26.3.261
Publisher : 한국정보관리학회
Research Area : Interdisciplinary Studies > Library and Information Science
Received : August 16, 2009
Accepted : August 28, 2009
Published : September 30, 2009

Eunkyung Chung ¹

¹이화여자대학교

Accredited

ABSTRACT

Identifying optimal feature sets in Text Categorization(TC) is crucial in terms of improving the effectiveness. In this study, experiments on feature expansion were conducted using author provided keyword sets and article titles from typical scientific journal articles. The tool used for expanding feature sets is WordNet, a lexical database for English words. Given a data set and a lexical tool, this study presented that feature expansion with synonymous relationship was significantly effective on improving the results of TC. The experiment results pointed out that when expanding feature sets with synonyms using on classifier names, the effectiveness of TC was considerably improved regardless of word sense disambiguation.

KEYWORDS

WordNet, text categorization, semantics, feature selection, feature expansion

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* References for papers published after 2023 are currently being built.

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Journal of the Korean Society for Information Management 2023 KCI Impact Factor : 1.31

A Semantic-Based Feature Expansion Approach for Improving the Effectiveness of Text Categorization by Using WordNet

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Citation status

* References for papers published after 2023 are currently being built.

Journal of the Korean Society for Information Management 2023 KCI Impact Factor : 1.31

A Semantic-Based Feature Expansion Approach for Improving the Effectiveness of Text Categorization by Using WordNet

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