What is LSI indexing?
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What is LSI indexing?
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HI,
Latent Semantic Indexing (LSI) is an approach to understanding keywords in the context of the words on the entire webpage.
It facilitates document indexing process on search engines...
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Latent semantic indexing helps search engines to find out what a web page is all about. LSI ensures a websites' content is of value to the online community rather than just repeating a highly searched word or phrase.
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This is one type of submission. some sites only be latent semantic submission
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LSI adds an important step to the document indexing process. In addition to recording which keywords a document contains, the method examines the document collection as a whole, to see which other documents contain some of those same words. LSI considers documents that have many words in common to be semantically close, and ones with few words in common to be semantically distant. This simple method correlates surprisingly well with how a human being, looking at content, might classify a document collection.
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Not even close...........Originally posted by caitlyn View PostThis is one type of submission. some sites only be latent semantic submission
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Hey...
LSI means laten semantic indexing....it helps the search engines to find out what a web page is all about simply you can say That makes it easier for search engines to determine the topic of your site. It basically means to you that you shouldn't focus on a single keyword when optimizing your web pages and when getting links.
The web pages on your web site should be related and focus mainly on a special topic while using different words that describe the topic. Use variations of your keyword and synonyms.
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Yes, it is used in search term indexed by Google where similar woulds also considered like if you are looking for writing then it would also search wrote, writer, writers etc.
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Latent semantic indexing (LSI) is an indexing and retrieval method that uses a mathematical technique called singular value decompotion (SVD) to identify patterns in the relationships between the terms and concepts contained in an unstructured collection of text. LSI is based on the principle that words that are used in the same contexts tend to have similar meanings. A key feature of LSI is its ability to extract the conceptual content of a body of text by establishing associations between those terms that occur in similar contexts.
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