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What is Latent Semantic Indexing?

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Thread: What is Latent Semantic Indexing?

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    WiztechAutomation (02-06-2019)

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    It is becoming a good approach in SEO. Actually, it’s an approach with the help of which the users can simply make sure of extensible results in all the searches they made. It enables users to get the results that closely match with the keyword used by them.

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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.

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    Latent Semantic Indexing helps search engines accomplish these two tasks. It’s the part of the algorithm that identifies related words in content to better classify webpages and deliver more accurate search results.

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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. ... In essence, it finds the hidden (latent) relationships between words (semantics) in order to improve information understanding (indexing).

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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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