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What is Latent Semantic Indexing?

 Latent semantic indexing it is an algorithm used by search engines to determine what a page is about outside of specifically matching search query text.

LSI helps search engines identify related keywords and process synonyms to deliver more accurate search results.

LSI i.e. Latent Semantic Indexing is a concept used by search engines when any user searches any thing. It is to understand the content as well as its synonyms of the text been searched. This is to help users get more accurate results.

Latent semantic indexing (LSI) is an indexing and retrieval method that uses a mathematical technique called singular value decomposition (SVD) to identify patterns in the relationships between the terms and concepts contained in an unstructured collection of text.

Latent Semantic Indexing is an approach used by Google and search engines. The contents of a webpage are crawled by a search engine and the words and phrases in the webpage are identify as the keywords. It also search for synonyms related to the title of the page

Latent Semantic Indexing is used to retrieval your index keyword in a mathematical conversion basis. It is used to analyze the unstructured methods of structural methods.

Latent Semantic Indexing is an approach used by Google and search engines. The contents of a webpage are crawled by a search engine and the words and phrases in the webpage are identify as the keywords. It also search for synonyms related to the title of the page.

LSI is Latent Semantic Indexing are semantically associated with the main keyword that users enter over the search engines.