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Categorical term descriptor: a proposed term weighting scheme for feature selection

This paper proposes a term weighting scheme, categorical term descriptor (CTD), for feature selection in automated text categorization. CTD is an adaptation of the term frequency inverse document frequency (TFIDF). We compared the performance of the proposed method against classical methods such as...

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書誌詳細
主要な著者:	Bong, Chih How, Kulathuramaiyer, Narayanan, Wong, Ting Kiong
フォーマット:	Conference or Workshop Item
言語:	English
出版事項:	IEEE 2005
主題:	AC Collections. Series. Collected works T Technology (General)
オンライン･アクセス:	http://ir.unimas.my/id/eprint/1196/1/categorical%2Bterm%2Bdescriptor%2B%2BA%2Bproposed%2Bterm%2Bweighting%2Bscheme%2Bfor%2Bfeature%2Bselection%2528abstract%2529.pdf http://ir.unimas.my/id/eprint/1196/
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