Review
Version 1
This version is not peer-reviewed
Web Content Mining: A Review on Concepts, Techniques, and Tools
Version 1
: Received: 29 July 2024 / Approved: 29 July 2024 / Online: 29 July 2024 (16:37:56 CEST)
Version 2 : Received: 30 July 2024 / Approved: 30 July 2024 / Online: 30 July 2024 (09:04:41 CEST)
Version 2 : Received: 30 July 2024 / Approved: 30 July 2024 / Online: 30 July 2024 (09:04:41 CEST)
How to cite: Sial, A. H. Web Content Mining: A Review on Concepts, Techniques, and Tools. Preprints 2024, 2024072339. https://doi.org/10.20944/preprints202407.2339.v1 Sial, A. H. Web Content Mining: A Review on Concepts, Techniques, and Tools. Preprints 2024, 2024072339. https://doi.org/10.20944/preprints202407.2339.v1
Abstract
With the emergence of the Internet and WWW has become a comprehensive source of information for the extraction of meaningful information has become a significant challenge in the past decade. Furthermore, the available information is classified in unstructured, structured, and semi-structured forms. Numerous amount of information on the web is also characterized in an unstructured or semi-structured format. This usually extracts the potential useful information from these multiple forms and has been considered a leading area of research in this modern era. The authors presented web content mining as a subcategory of web mining that focuses on important extracting patterns from the contexts available in the documents on the web. Hence, this paper focuses on the multiple content mining concepts, tools, and techniques implemented on the documents available on WWW.
Keywords
WWW, Web Content Mining, Unstructured, Structured, Semi-Structured, Web Documents
Subject
Computer Science and Mathematics, Computer Science
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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