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What is LSI?

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    LSI short for 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.

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    LSI stands for Latent Semantic Indexing.

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    LSI (Latent Semantic Indexing) is the a portion of Google's calculation that will crease words into a grid for investigations, with the end goal of recognizing semantically related terms.

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    Latent semantic indexing is the full form of LSI keyword. LSI keywords stands for semantic keywords. They are the keywords that are closely related to the main keywords. Like synonyms, or related searches to the main keyword.
    Specifically, Search engine use keywords as a measuring stick to determine the quality of content, so content that includes primary keywords in moderation and its LSI variations has the best chances of ranking high in search engines.

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    LSI is a mathematical method used to determine the relationship between terms and concepts in content.

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    LSI keywords stand for (Latent Semantic Indexing) those keywords which semantically related to your primary keywords, google doesn't accept repeated keywords more than 5 to 6 % of your main keywords otherwise it will consider keyword stuffing and it will decrease your ranking in search engine, you can use its similar keywords of your main keywords in your content.
    it is based on user search patterns and behaviour how one keyword search is usually linked to another keyword search

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    Latent Semantic Indexing (LSI) is a technique used by all search engines, 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.

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    Quote Originally Posted by georgebell View Post
    //TOO MUCH LINKS
    Before you plan to takeaway links from here, let me tell you that this forum provides nofollow links

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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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    Latent semantic analysis is a technique in natural language processing, in particular distributional semantics, of analyzing relationships between a set of documents and the terms they contain by producing a set of concepts related to the documents and terms

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