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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:English
Published: 2010
Subjects:
QA71-90 Instruments and machines
Online Access:http://etd.uum.edu.my/2164/1/Mustafa_Muwafak_Theab.pdf
http://etd.uum.edu.my/2164/
http://lintas.uum.edu.my:8080/elmu/index.jsp?module=webopac-l&action=fullDisplayRetriever.jsp&szMaterialNo=0000757917
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spelling my.uum.etd.21642013-07-24T12:14:42Z http://etd.uum.edu.my/2164/ Text Extraction Algorithm for Web Text Classification Theab, Mustafa Muwafak 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 NonPeerReviewed application/pdf en http://etd.uum.edu.my/2164/1/Mustafa_Muwafak_Theab.pdf Theab, Mustafa Muwafak (2010) Text Extraction Algorithm for Web Text Classification. Masters thesis, Universiti Utara Malaysia. http://lintas.uum.edu.my:8080/elmu/index.jsp?module=webopac-l&action=fullDisplayRetriever.jsp&szMaterialNo=0000757917
institution Universiti Utara Malaysia
building UUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Utara Malaysia
content_source UUM Electronic Theses
url_provider http://etd.uum.edu.my/
language English
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
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
publishDate 2010
url http://etd.uum.edu.my/2164/1/Mustafa_Muwafak_Theab.pdf
http://etd.uum.edu.my/2164/
http://lintas.uum.edu.my:8080/elmu/index.jsp?module=webopac-l&action=fullDisplayRetriever.jsp&szMaterialNo=0000757917
_version_ 1644276611358392320
score 13.211869

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