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.

[img]
Preview
PDF
bong+chih+how.pdf

Download (840kB) | Preview
[img] PDF (Please get the password from Digital Collection Development Unit, ext: 3932 / 3914)
2013-02-thBongCHfull.pdf
Restricted to Registered users only

Download (5MB)

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: Universiti Malaysia Sarawak, UNIMAS
Uncontrolled Keywords: text categorization, Universiti Malaysia Sarawak, UNIMAS , postgraduate, research, IPTA, education, universiti, university, kuching, samarahan, sarawak, malaysia
Subjects: A General Works > AC Collections. Series. Collected works
A General Works > AC Collections. Series. Collected works

Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: 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: 20 Aug 2015 02:00
URI: http://ir.unimas.my/id/eprint/1697

Actions (For repository members only: login required)

View Item View Item