Text Mining in Search Engines By: DJ Ambler With special thanks to - PowerPoint PPT Presentation

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Text Mining in Search Engines By: DJ Ambler With special thanks to the Internet Overview What is text mining? How is it used in search engines? Text Mining Definition A way to extract meaning from text Structuring, deriving

Text Mining in Search Engines By: DJ Ambler With special thanks to the Internet
Overview ● What is text mining? ● How is it used in search engines?
Text Mining Definition ● A way to extract meaning from text ● Structuring, deriving patterns, then evaluating ● “High quality” in text mining
Text Mining Tasks ● Text categorization ● Text clustering ● Concept/entity extraction ● Production of granular taxonomies ● Sentiment analysis ● Document summarization ● Entity relation modeling
Parts of a Search Engine ● Crawler ● Indexer ● Ranker
Crawler (Spider) Issues in crawling: 1. What to crawl? 2. How much to crawl? 3. How often to crawl?
Indexer ● Stop words ● Stemming ● Issues
Ranker ● Receives query ● Searches index ● Ranks the pages based on complex algorithms
Ranking Criteria ● Number of matching query words in the page ● Proximity of matching words to one another ● Location of terms within the page ● Location of terms within tags e.g. <title>, <h1>, link text, body text, etc... ● Frequency of terms on the page and in general ● How “fresh” is the page
Sources Cong, G. (n.d.). Introduction to Text Mining and Web Search. ● Retrieved November 3, 2017. Joshi, H. (n.d.). Search Engines - Text Mining in Action. Retrieved ● November 03, 2017, from https://www.scribd.com/document/176948623/Search- Engines-Text-Mining-in-Action

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