Hierarchical Contaminated Web Page Classification Based on Meta Tag Denoising Disposal

Web page classification is critical for information retrieval. Most web page classification methods have the following two faults: (1) need to analyze based on the overall web page and (2) do not pay enough attention to the existence of noise information inside the web page, which will thus decrease...

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Autores principales:	Xiang Song, Yi Zhu, Xuemei Zeng, Xingshu Chen
Formato:	article
Lenguaje:	EN
Publicado:	Hindawi-Wiley 2021
Materias:	Technology (General) T1-995 Science (General) Q1-390
Acceso en línea:	https://doaj.org/article/a3a5ecc31c5942758d466230f88da098
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id	oai:doaj.org-article:a3a5ecc31c5942758d466230f88da098
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spelling	oai:doaj.org-article:a3a5ecc31c5942758d466230f88da0982021-11-29T00:55:36ZHierarchical Contaminated Web Page Classification Based on Meta Tag Denoising Disposal1939-012210.1155/2021/2470897https://doaj.org/article/a3a5ecc31c5942758d466230f88da0982021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/2470897https://doaj.org/toc/1939-0122Web page classification is critical for information retrieval. Most web page classification methods have the following two faults: (1) need to analyze based on the overall web page and (2) do not pay enough attention to the existence of noise information inside the web page, which will thus decrease the efficiency and classification performance, especially when classifying the contaminated web page. To solve these problems, this paper proposes a denoising disposal algorithm. We choose the top-down method for hierarchical classification to improve the prediction efficiency. The experimental results demonstrate that our method is about 7 times faster than the full-page method and achieves good classification results in most categories. The precision of 7 parent categories is all above 88% and is 24% higher than the other meta tag-based method on average.Xiang SongYi ZhuXuemei ZengXingshu ChenHindawi-WileyarticleTechnology (General)T1-995Science (General)Q1-390ENSecurity and Communication Networks, Vol 2021 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Technology (General) T1-995 Science (General) Q1-390
spellingShingle	Technology (General) T1-995 Science (General) Q1-390 Xiang Song Yi Zhu Xuemei Zeng Xingshu Chen Hierarchical Contaminated Web Page Classification Based on Meta Tag Denoising Disposal
description	Web page classification is critical for information retrieval. Most web page classification methods have the following two faults: (1) need to analyze based on the overall web page and (2) do not pay enough attention to the existence of noise information inside the web page, which will thus decrease the efficiency and classification performance, especially when classifying the contaminated web page. To solve these problems, this paper proposes a denoising disposal algorithm. We choose the top-down method for hierarchical classification to improve the prediction efficiency. The experimental results demonstrate that our method is about 7 times faster than the full-page method and achieves good classification results in most categories. The precision of 7 parent categories is all above 88% and is 24% higher than the other meta tag-based method on average.
format	article
author	Xiang Song Yi Zhu Xuemei Zeng Xingshu Chen
author_facet	Xiang Song Yi Zhu Xuemei Zeng Xingshu Chen
author_sort	Xiang Song
title	Hierarchical Contaminated Web Page Classification Based on Meta Tag Denoising Disposal
title_short	Hierarchical Contaminated Web Page Classification Based on Meta Tag Denoising Disposal
title_full	Hierarchical Contaminated Web Page Classification Based on Meta Tag Denoising Disposal
title_fullStr	Hierarchical Contaminated Web Page Classification Based on Meta Tag Denoising Disposal
title_full_unstemmed	Hierarchical Contaminated Web Page Classification Based on Meta Tag Denoising Disposal
title_sort	hierarchical contaminated web page classification based on meta tag denoising disposal
publisher	Hindawi-Wiley
publishDate	2021
url	https://doaj.org/article/a3a5ecc31c5942758d466230f88da098
work_keys_str_mv	AT xiangsong hierarchicalcontaminatedwebpageclassificationbasedonmetatagdenoisingdisposal AT yizhu hierarchicalcontaminatedwebpageclassificationbasedonmetatagdenoisingdisposal AT xuemeizeng hierarchicalcontaminatedwebpageclassificationbasedonmetatagdenoisingdisposal AT xingshuchen hierarchicalcontaminatedwebpageclassificationbasedonmetatagdenoisingdisposal
_version_	1718407788058640384

Hierarchical Contaminated Web Page Classification Based on Meta Tag Denoising Disposal

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