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Web Mining Methods

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Opinion Mining

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Opinion mining, also known as sentiment analysis, involves the use of natural language processing to track the mood of the public about a particular product or topic. It's extensively applied in market research, product reviews, and customer feedback analysis.

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Web Crawler

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A web crawler is an internet bot that systematically browses the World Wide Web for the purpose of Web indexing (web spidering). It is widely used by search engines to update their content or indexes of other sites' content.

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Text Mining

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Text mining involves deriving high-quality information from text sources. It is applied in various areas such as natural language processing, business intelligence, and also as a subset of web content mining for information retrieval.

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Web Content Mining

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Web content mining refers to the process of extracting useful information and data from web page contents. This method is applied in search engine algorithms, data analysis for marketing strategies, and competitive intelligence.

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Web Structure Mining

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Web structure mining is the process of discovering the model underlying the link structures of the web. It is used to categorize web pages and is beneficial in improving website navigation and establishing the quality of websites based on link count.

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Web Usage Mining

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Web usage mining involves the extraction of information from server logs to understand user behavior. Applications include personalization, system improvement, business and customer research, and website design.

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