What is a good explanation of Latent Semantic Indexing (LSI)?
Latent Semantic Indexing, or LSI, refers to a specific type of keywords that search engines use to refine their results. This particular variety of keywords is used by search engines like Google to display contextually relevant content to the searchers.
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+++++++++++++++Latent Semantic Indexing (LSI) is a mathematical method used to determine the relationship between terms and concepts in content. The contents of a webpage 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.“automobile”, “Austin” and “car auctions”.
Latent Semantic Analysis (LSA), also known as Latent Semantic Indexing (LSI) literally means analyzing documents to find the underlying meaning or concepts of those documents. If each word only meant one concept, and each concept was only described by one word, then LSA would be easy since there is a simple mapping from words to concepts.
Have you tried google or wiki? ::)
Why don't you try Google to get explanations? !-!
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