Bong, Chih How and Kulathuramaiyer, Narayanan and Wong, Ting Kiong (2005) Categorical term descriptor: a proposed term weighting scheme for feature selection. In: 2005 IEEENVlClACM International Conference on Web Intelligence (W1'05).
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Abstract
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 correlation coefficient, chi-square and information gain using the multinomial naive Bayes and the support vector machine (SVKD) classifiers on the Reuters (10) and Reuters (115) variants of Reuters-21578 dataset.
| Item Type: | Proceeding (Paper) |
|---|---|
| Additional Information: | Universiti Malaysia Sarawak, UNIMAS |
| Uncontrolled Keywords: | Categorical Term Descriptor(CTD), Term Weighting Scheme, Universiti Malaysia Sarawak, UNIMAS, IPTA, education, universiti, university, kuching, samarahan, sarawak, malaysia |
| Subjects: | A General Works > AC Collections. Series. Collected works T Technology > T Technology (General) |
| Divisions: | Academic Faculties, Institutes and Centres > Faculty of Computer Science and Information Technology Faculties, Institutes, Centres > Faculty of Computer Science and Information Technology Academic Faculties, Institutes and Centres > Faculty of Computer Science and Information Technology |
| Depositing User: | Karen Kornalius |
| Date Deposited: | 19 Mar 2014 07:27 |
| Last Modified: | 24 Mar 2015 00:48 |
| URI: | http://ir.unimas.my/id/eprint/1196 |
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