Text Extraction Algorithm for Web Text Classification

Explosive expand of web pages in the World Wide Web makes it difficult for search engine and web directory to give relevant results to the user requirements. Web pages need automatic classification techniques with high classification accuracy. This study provides a text extraction algorithm for web...

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Main Author:	Theab, Mustafa Muwafak
Format:	Thesis
Language:	eng
Published:	2010
Subjects:	QA71-90 Instruments and machines
Online Access:	https://etd.uum.edu.my/2164/1/Mustafa_Muwafak_Theab.pdf
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id	my-uum-etd.2164
record_format	uketd_dc
spelling	my-uum-etd.21642013-07-24T12:14:42Z Text Extraction Algorithm for Web Text Classification 2010 Theab, Mustafa Muwafak Ku Mahamud, Ku Ruhana Ahmad, Faudziah College of Arts and Sciences (CAS) College of Arts and Sciences QA71-90 Instruments and machines Explosive expand of web pages in the World Wide Web makes it difficult for search engine and web directory to give relevant results to the user requirements. Web pages need automatic classification techniques with high classification accuracy. This study provides a text extraction algorithm for web text classification. The extraction algorithm consists of three phases namely web page extraction, rule formulation, and algorithm validation. A text extraction prototype is built using Visual C# 2008 to validate the algorithm. It is a windows application mixed with web connection protocol. The prototype offers the creation of Binary data set as well as term frequency inverse document frequency (tf-idf) data set. In this study, the experiment was conducted on five English educational websites. The created data sets are then classified using Naive-Bayes and C4.5 algorithms provided in WEKA application. The experimental results show that Naive-Bayes classifier with web text extraction algorithm proves to be the best method for web text classification. 2010 Thesis https://etd.uum.edu.my/2164/ https://etd.uum.edu.my/2164/1/Mustafa_Muwafak_Theab.pdf application/pdf eng validuser http://lintas.uum.edu.my:8080/elmu/index.jsp?module=webopac-l&action=fullDisplayRetriever.jsp&szMaterialNo=0000757917 masters masters Universiti Utara Malaysia
institution	Universiti Utara Malaysia
collection	UUM ETD
language	eng
advisor	Ku Mahamud, Ku Ruhana Ahmad, Faudziah
topic	QA71-90 Instruments and machines
spellingShingle	QA71-90 Instruments and machines Theab, Mustafa Muwafak Text Extraction Algorithm for Web Text Classification
description	Explosive expand of web pages in the World Wide Web makes it difficult for search engine and web directory to give relevant results to the user requirements. Web pages need automatic classification techniques with high classification accuracy. This study provides a text extraction algorithm for web text classification. The extraction algorithm consists of three phases namely web page extraction, rule formulation, and algorithm validation. A text extraction prototype is built using Visual C# 2008 to validate the algorithm. It is a windows application mixed with web connection protocol. The prototype offers the creation of Binary data set as well as term frequency inverse document frequency (tf-idf) data set. In this study, the experiment was conducted on five English educational websites. The created data sets are then classified using Naive-Bayes and C4.5 algorithms provided in WEKA application. The experimental results show that Naive-Bayes classifier with web text extraction algorithm proves to be the best method for web text classification.
format	Thesis
qualification_name	masters
qualification_level	Master's degree
author	Theab, Mustafa Muwafak
author_facet	Theab, Mustafa Muwafak
author_sort	Theab, Mustafa Muwafak
title	Text Extraction Algorithm for Web Text Classification
title_short	Text Extraction Algorithm for Web Text Classification
title_full	Text Extraction Algorithm for Web Text Classification
title_fullStr	Text Extraction Algorithm for Web Text Classification
title_full_unstemmed	Text Extraction Algorithm for Web Text Classification
title_sort	text extraction algorithm for web text classification
granting_institution	Universiti Utara Malaysia
granting_department	College of Arts and Sciences (CAS)
publishDate	2010
url	https://etd.uum.edu.my/2164/1/Mustafa_Muwafak_Theab.pdf
_version_	1747827280136110080

Text Extraction Algorithm for Web Text Classification

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