Abstract

Nowadays, the explosive growth of the World Wide Web generates tremendous amount of web data and consequently web data mining has become an important technique for discovering useful information and knowledge. Web mining is a vivid research area closely related to Information Extraction IE . Automatic content extraction from web pages is a challenging yet significant problem in the fields of information retrieval and data mining. Web Content mining refers to the discovery of useful information from web content such as text, images videos etc. Web content extraction is the process of organizing data instances into groups whose members are similar in some way. Content Extraction helps the user to easily select the topic of interest. Web Content Ming technology is useful in management information system. Web content mining extracts or mines useful information or knowledge from web page contents. This paper aims to study on web content extraction techniques. Aye Pwint Phyu | Khaing Khaing Wai "Study on Web Content Extraction Techniques" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-5 , August 2019, URL: https://www.ijtsrd.com/papers/ijtsrd27931.pdfPaper URL: https://www.ijtsrd.com/computer-science/data-miining/27931/study-on-web-content-extraction-techniques/aye-pwint-phyu

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