Automatic categorization of geography examination questions.

Text categorization as part of Text Mining (or Data Mining) methods is used to automate the classification of geography examination questions. It employs machine learning classifiers such as Naive Bayes and Support Vector Machine to categorize examination questions for the topic hierarchies in a We...

Full description

Saved in:

Bibliographic Details
Main Author:	Chong, Serene Yee Soon.
Other Authors:	Goh, Dion Hoe Lian
Format:	Theses and Dissertations
Published:	2008
Subjects:	DRNTU::Engineering::Computer science and engineering::Computing methodologies::Document and text processing
Online Access:	http://hdl.handle.net/10356/1863
Tags:	Add Tag No Tags, Be the first to tag this record!
Institution:	Nanyang Technological University

id	sg-ntu-dr.10356-1863
record_format	dspace
spelling	sg-ntu-dr.10356-18632019-12-10T12:22:08Z Automatic categorization of geography examination questions. Chong, Serene Yee Soon. Goh, Dion Hoe Lian Wee Kim Wee School of Communication and Information DRNTU::Engineering::Computer science and engineering::Computing methodologies::Document and text processing Text categorization as part of Text Mining (or Data Mining) methods is used to automate the classification of geography examination questions. It employs machine learning classifiers such as Naive Bayes and Support Vector Machine to categorize examination questions for the topic hierarchies in a Web-based digital library application, GeogDL. Master of Science (Information Studies) 2008-09-10T08:36:54Z 2008-09-10T08:36:54Z 2004 2004 Thesis http://hdl.handle.net/10356/1863 Nanyang Technological University application/pdf
institution	Nanyang Technological University
building	NTU Library
country	Singapore
collection	DR-NTU
topic	DRNTU::Engineering::Computer science and engineering::Computing methodologies::Document and text processing
spellingShingle	DRNTU::Engineering::Computer science and engineering::Computing methodologies::Document and text processing Chong, Serene Yee Soon. Automatic categorization of geography examination questions.
description	Text categorization as part of Text Mining (or Data Mining) methods is used to automate the classification of geography examination questions. It employs machine learning classifiers such as Naive Bayes and Support Vector Machine to categorize examination questions for the topic hierarchies in a Web-based digital library application, GeogDL.
author2	Goh, Dion Hoe Lian
author_facet	Goh, Dion Hoe Lian Chong, Serene Yee Soon.
format	Theses and Dissertations
author	Chong, Serene Yee Soon.
author_sort	Chong, Serene Yee Soon.
title	Automatic categorization of geography examination questions.
title_short	Automatic categorization of geography examination questions.
title_full	Automatic categorization of geography examination questions.
title_fullStr	Automatic categorization of geography examination questions.
title_full_unstemmed	Automatic categorization of geography examination questions.
title_sort	automatic categorization of geography examination questions.
publishDate	2008
url	http://hdl.handle.net/10356/1863
_version_	1681049619874709504

Automatic categorization of geography examination questions.

Similar Items