Email categorization using support vector machine

Study on text categorization field contains classification process of text documents into a fixed number of pre-defined categories by user. The objective of this project is to make research on classifying email process based on category using Support Vector Machine software. Among processes will be...

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Bibliographic Details
Main Author:	Mohd. Daud, Mariah
Format:	Thesis
Language:	English
Published:	2004
Subjects:	QA75 Electronic computers Computer science QA76 Computer software
Online Access:	http://eprints.utm.my/id/eprint/3297/1/MariahMohdDaudMFC2004.pdf
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id	my-utm-ep.3297
record_format	uketd_dc
spelling	my-utm-ep.32972018-06-26T07:56:26Z Email categorization using support vector machine 2004 Mohd. Daud, Mariah QA75 Electronic computers. Computer science QA76 Computer software Study on text categorization field contains classification process of text documents into a fixed number of pre-defined categories by user. The objective of this project is to make research on classifying email process based on category using Support Vector Machine software. Among processes will be used are read input data email from subject and body, feature extraction, feature selection and classify data using Support Vector Machine (SVM). Feature extraction process involved word stopping and word stemming methods that can reduce the number of dimension of features. Features selection process involved TFIDF method. Effective of classification process has been measured using precision and recall criteria. Result produced from analysis showed that Support Vector Machine is very effective in email classifying process. 2004 Thesis http://eprints.utm.my/id/eprint/3297/ http://eprints.utm.my/id/eprint/3297/1/MariahMohdDaudMFC2004.pdf application/pdf en public other Universiti Teknologi Malaysia, Faculty of Computer Science and Information System Faculty of Computer Science and Information System
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	QA75 Electronic computers Computer science QA76 Computer software
spellingShingle	QA75 Electronic computers Computer science QA76 Computer software Mohd. Daud, Mariah Email categorization using support vector machine
description	Study on text categorization field contains classification process of text documents into a fixed number of pre-defined categories by user. The objective of this project is to make research on classifying email process based on category using Support Vector Machine software. Among processes will be used are read input data email from subject and body, feature extraction, feature selection and classify data using Support Vector Machine (SVM). Feature extraction process involved word stopping and word stemming methods that can reduce the number of dimension of features. Features selection process involved TFIDF method. Effective of classification process has been measured using precision and recall criteria. Result produced from analysis showed that Support Vector Machine is very effective in email classifying process.
format	Thesis
qualification_level	other
author	Mohd. Daud, Mariah
author_facet	Mohd. Daud, Mariah
author_sort	Mohd. Daud, Mariah
title	Email categorization using support vector machine
title_short	Email categorization using support vector machine
title_full	Email categorization using support vector machine
title_fullStr	Email categorization using support vector machine
title_full_unstemmed	Email categorization using support vector machine
title_sort	email categorization using support vector machine
granting_institution	Universiti Teknologi Malaysia, Faculty of Computer Science and Information System
granting_department	Faculty of Computer Science and Information System
publishDate	2004
url	http://eprints.utm.my/id/eprint/3297/1/MariahMohdDaudMFC2004.pdf
_version_	1747814446100643840

Email categorization using support vector machine

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