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  1. #1
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    What is Latent Semantic Indexing?

    What is Latent Semantic Indexing?

  2. #2
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    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.

  3. #3
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    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.

  4. #4
    Senior Member dennis123's Avatar
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    Hi Friends,
    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.

    Unfortunately, this problem is difficult because English has different words that mean the same thing (synonyms), words with multiple meanings, and all sorts of ambiguities that obscure the concepts to the point where even people can have a hard time understanding.

  5. #5
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    Thanks for sharing useful information..

  6. #6
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    Latent semantic indexing (LSI) is a concept used by search engines to discover how a term and content work together to mean the same thing, even if they do not share keywords or synonyms. ... Search engine optimization (SEO) is often hard to understand

  7. #7
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    LSI stands for latent semantic indexing, which is the method that Google and other search engines use to study and compare relationships between different terms and concepts. These keywords can be used to improve SEO traffic and create more visibility and higher rankings in search results.
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  8. #8
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    Latent semantic indexing (LSI) is an indexing and retrieval technique that uses a mathematical technique known as singular value decomposition (SVD) to spot patterns within the relationships between the terms and concepts contained in an unstructured collection of text.

  9. #9
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    The LSI model that Google and other search engines use to study and compare relationships between different terms and concepts. These keywords can be used to improve SEO traffic and create more visibility and higher rankings in search results.

  10. #10
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    Nov 2017
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    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.

  11. #11
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    Nov 2013
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    Latent semantic indexing, sometimes referred to as latent semantic analysis, is a mathematical method developed in the late 1980s to improve the accuracy of information retrieval. It uses a technique called singular value decomposition to scan unstructured data within documents and identify relationships between the concepts contained therein.

  12. #12
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    Latent semantic indexing (LSI) is a concept used by search engines to discover how a term and content work together to mean the same thing, even if they do not share keywords or synonyms. ... Basically, though, you often need specific keywords on your pages to boost your website traffic

  13. #13
    Registered User maxbe's Avatar
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    Jan 2019
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    New York City, USA
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    LSI (Latent Semantic Indexing) is a kind of a phrase. These words help to deeply understand content on a webpage to search engines. Using LSI words in the content help to increase website traffic.

  14. #14
    Senior Member
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    Aug 2020
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    Latent semantic indexing (LSI) is a concept used by search engines to discover how a term and content work together to mean the same thing, even if they do not share keywords or synonyms. ... Basically, though, you often need specific keywords on your pages to boost your website traffic.

  15. #15

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