Latent Semantic Indexing (LSI) is a mathematical method used to determine the relationship between terms and concepts in content. The contents of a web page are crawled by a search engine and the most common words and phrases are collated and identified as the keywords for the page. LSI looks for synonyms related to the title of your page. For example, if the title of your page was “Classic Cars”, the search engine would expect to find words relating to that subject in the content of the page as well, i.e. “collectors”, “automobile”, “Ferrari”, “Lamborghini” and “car crash”. Latent Semantic Indexing came as a direct reaction to people trying to cheat search engines by cramming Meta keyword tags full of hundreds of keywords, Meta description full of more keywords, and page content full of nothing more than random keywords and no subject-related material or worthwhile content. LSI will not affect a squeeze page that has no intention of achieving a search engine rank anyway, due to its minimalistic content. But for site owners or bloggers hoping to get on the search engines good side, pay attention to LSI.
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If you want to look for more information, check some free online courses available at coursera.org, edx.org or udemy.com.
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