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Automatic Topic-Based Web Page Classification Using Deep Learning

The internet is frequently surfed by people by using smartphones, laptops, or computers in order to search information online in the web. The increase of information in the web has made the web pages grow day by day. The automatic topic-based web page classification is used to manage the excessive a...

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Main Authors:	Siti Hawa, Apandi, Jamaludin, Sallim, Rozlina, Mohamed, Norkhairi, Ahmad
Format:	Article
Language:	English
Published:	Politeknik Negeri Padang 2023
Subjects:	QA75 Electronic computers. Computer science QA76 Computer software
Online Access:	http://umpir.ump.edu.my/id/eprint/40036/1/Automatic%20Topic-Based%20Web%20Page%20Classification%20Using%20Deep%20Learning.pdf http://umpir.ump.edu.my/id/eprint/40036/ https://dx.doi.org/10.30630/joiv.7.3-2.1616
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id	my.ump.umpir.40036
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spelling	my.ump.umpir.400362024-01-16T07:06:17Z http://umpir.ump.edu.my/id/eprint/40036/ Automatic Topic-Based Web Page Classification Using Deep Learning Siti Hawa, Apandi Jamaludin, Sallim Rozlina, Mohamed Norkhairi, Ahmad QA75 Electronic computers. Computer science QA76 Computer software The internet is frequently surfed by people by using smartphones, laptops, or computers in order to search information online in the web. The increase of information in the web has made the web pages grow day by day. The automatic topic-based web page classification is used to manage the excessive amount of web pages by classifying them to different categories based on the web page content. Different machine learning algorithms have been employed as web page classifiers to categorise the web pages. However, there is lack of study that review classification of web pages using deep learning. In this study, the automatic topic-based classification of web pages utilising deep learning that has been proposed by many key researchers are reviewed. The relevant research papers are selected from reputable research databases. The review process looked at the dataset, features, algorithm, pre-processing used in classification of web pages, document representation technique and performance of the web page classification model. The document representation technique used to represent the web page features is an important aspect in the classification of web pages as it affects the performance of the web page classification model. The integral web page feature is the textual content. Based on the review, it was found that the image based web page classification showed higher performance compared to the text based web page classification. Due to lack of matrix representation that can effectively handle long web page text content, a new document representation technique which is word cloud image can be used to visualize the words that have been extracted from the text content web page. Politeknik Negeri Padang 2023-11 Article PeerReviewed pdf en cc_by_nc_sa_4 http://umpir.ump.edu.my/id/eprint/40036/1/Automatic%20Topic-Based%20Web%20Page%20Classification%20Using%20Deep%20Learning.pdf Siti Hawa, Apandi and Jamaludin, Sallim and Rozlina, Mohamed and Norkhairi, Ahmad (2023) Automatic Topic-Based Web Page Classification Using Deep Learning. International Journal on Informatics Visualization, 7 (3-2). pp. 2108-2114. ISSN 2549-9904. (Published) https://dx.doi.org/10.30630/joiv.7.3-2.1616 10.30630/joiv.7.3-2.1616
institution	Universiti Malaysia Pahang Al-Sultan Abdullah
building	UMPSA Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Malaysia Pahang Al-Sultan Abdullah
content_source	UMPSA Institutional Repository
url_provider	http://umpir.ump.edu.my/
language	English
topic	QA75 Electronic computers. Computer science QA76 Computer software
spellingShingle	QA75 Electronic computers. Computer science QA76 Computer software Siti Hawa, Apandi Jamaludin, Sallim Rozlina, Mohamed Norkhairi, Ahmad Automatic Topic-Based Web Page Classification Using Deep Learning
description	The internet is frequently surfed by people by using smartphones, laptops, or computers in order to search information online in the web. The increase of information in the web has made the web pages grow day by day. The automatic topic-based web page classification is used to manage the excessive amount of web pages by classifying them to different categories based on the web page content. Different machine learning algorithms have been employed as web page classifiers to categorise the web pages. However, there is lack of study that review classification of web pages using deep learning. In this study, the automatic topic-based classification of web pages utilising deep learning that has been proposed by many key researchers are reviewed. The relevant research papers are selected from reputable research databases. The review process looked at the dataset, features, algorithm, pre-processing used in classification of web pages, document representation technique and performance of the web page classification model. The document representation technique used to represent the web page features is an important aspect in the classification of web pages as it affects the performance of the web page classification model. The integral web page feature is the textual content. Based on the review, it was found that the image based web page classification showed higher performance compared to the text based web page classification. Due to lack of matrix representation that can effectively handle long web page text content, a new document representation technique which is word cloud image can be used to visualize the words that have been extracted from the text content web page.
format	Article
author	Siti Hawa, Apandi Jamaludin, Sallim Rozlina, Mohamed Norkhairi, Ahmad
author_facet	Siti Hawa, Apandi Jamaludin, Sallim Rozlina, Mohamed Norkhairi, Ahmad
author_sort	Siti Hawa, Apandi
title	Automatic Topic-Based Web Page Classification Using Deep Learning
title_short	Automatic Topic-Based Web Page Classification Using Deep Learning
title_full	Automatic Topic-Based Web Page Classification Using Deep Learning
title_fullStr	Automatic Topic-Based Web Page Classification Using Deep Learning
title_full_unstemmed	Automatic Topic-Based Web Page Classification Using Deep Learning
title_sort	automatic topic-based web page classification using deep learning
publisher	Politeknik Negeri Padang
publishDate	2023
url	http://umpir.ump.edu.my/id/eprint/40036/1/Automatic%20Topic-Based%20Web%20Page%20Classification%20Using%20Deep%20Learning.pdf http://umpir.ump.edu.my/id/eprint/40036/ https://dx.doi.org/10.30630/joiv.7.3-2.1616
_version_	1822924085119680512
score	13.232424

Automatic Topic-Based Web Page Classification Using Deep Learning

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