A machine learning framework for automated text categorization

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:	19 Nov 2025 05:13
URI:	http://ir.unimas.my/id/eprint/1697

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