Bong, Chih How (2001) A machine learning framework for automated text categorization. Masters thesis, Universiti Malaysia Sarawak (UNIMAS).
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Abstract
This dissertation describes a machine learning framework for the development of an automated text categorization system for real-life problems. Conference paper classification will be used as a case study of a life text categorization problem. Unlike documents in benchmark collections, text documents such as conference papers tend to be rather heterogeneous having a rich structure with variable length documents where each category consists of a variable number of documents.
| Item Type: | Thesis (Masters) |
|---|---|
| Additional Information: | Thesis (M.Sc.) - Universiti Malaysia Sarawak , 2001. |
| Uncontrolled Keywords: | text categorization, Universiti Malaysia Sarawak, UNIMAS , postgraduate, research, IPTA, education, universiti, university, kuching, samarahan, sarawak, malaysia |
| Subjects: | Q Science > Q Science (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: | 14 Apr 2014 08:15 |
| Last Modified: | 14 Nov 2023 01:23 |
| URI: | http://ir.unimas.my/id/eprint/1697 |
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