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What is LSI in SEO?

Discussion in 'Search Engine Optimization' started by afoley77, Jan 14, 2013.

  1. #1
    What does it mean? What is the use of this term for Google?
    SEMrush
     
    afoley77, Jan 14, 2013 IP
    SEMrush
  2. petersmith5544

    petersmith5544 Greenhorn

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    #2
    LSI stands for Latent Semantic Indexing. Latent Semantic Indexing keywords can make your content look more natural to search engines and users. Instead of using the exact phrase repeatedly throughout your text, you can use synonyms and other terms that are related to your content and have the same meaning with your target key phrase.
     
    petersmith5544, Jan 15, 2013 IP
    seo-first and Jim4767 like this.
  3. nihangshah

    nihangshah Prominent Member

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    #3
    nihangshah, Jan 15, 2013 IP
  4. fallen.star

    fallen.star Greenhorn

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    #4
    Latent semantic indexing. It is a series of actions that extracting related words or information from your site content. Main idea behind LSI is to discover words and phrases that are related in the context of any document or group of documents.
     
    fallen.star, Jan 15, 2013 IP
  5. MarleneL.Haines

    MarleneL.Haines Greenhorn

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    #5
    LSI stands for Latent Semantic Indexing.
     
    MarleneL.Haines, Jan 15, 2013 IP
  6. affilorama

    affilorama Active Member

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    #6
    LSI or Latent Semantic Indexing works on the premise, that words in an article that are used in the same way, like synonyms, mean one thing and is therefore, relevant to each other. For example, in writing an article for weight loss where I target the keywords "lose stomach fat", I can only use the target keyword a certain number of times. So, I will use the synonyms or variations of the target keyword, and this helps increase the relevance of your article to your target keyword.

    Hope that helps. Have a good day!
     
    affilorama, Jan 15, 2013 IP
  7. a1brandz

    a1brandz Greenhorn

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    #7
    LSI is great way to present your content before search engines without doing spam as it lacks exact keyword repetition.
     
    a1brandz, Jan 15, 2013 IP
  8. Zora2012

    Zora2012 Greenhorn

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    #8
    LSI means Latent Semantic Indexing, Latent semantic indexing helps search engines to find out what a web page is all about. It basically means to you that you shouldn't focus on a single keyword when optimizing your web pages and when getting links.
     
    Zora2012, Jan 16, 2013 IP
  9. Jesse12

    Jesse12 Member

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    #9
    LSI means Latent Semantic Indexing, Google will prefer the content which used the synonym for your exact keyword like if your are using toys as a keyword then you need to put the keyword like boys toys, girls toys and so on....

    Hope you understood.
     
    Jesse12, Jan 16, 2013 IP
  10. dataguru

    dataguru Member

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    #10
    Thanks for the Info and WIKI links........
     
    dataguru, Jan 16, 2013 IP
  11. Cant.org

    Cant.org Greenhorn

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    #11
    Well, what should we do if something that doesn't have a synonyms, for example Visa subclass for countries.
     
    Cant.org, Jan 16, 2013 IP
  12. Elfen Lied

    Elfen Lied Banned

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    #12
    The Latent Semantic Indexing information retrieval model builds upon the prior research in information retrieval and, using the singular value decomposition (SVD) to reduce the dimensions of the term-document space, attempts to solve the synonomy and polysemy problems that plague automatic information retrieval systems. LSI explicitly represents terms and documents in a rich, high-dimensional space, allowing the underlying ("latent"), semantic relationships between terms and documents to be exploited during searching. Most notably, LSI represents documents in a high-dimensional space or semantic space. Secondly, both terms and documents are explicitly represented in the same space. In many cases no attempt is made to interpret the meaning of each dimension. Each dimension is merely assumed to represent one or more semantic relationships in the term-document space. Finally, because of limits imposed mostly by the computational demands of vector-space approaches to information retrieval, previous attempts focused on relatively small document collections. Keep in mind that Google is the largest collector of stored documents and the Google databases. Google runs on hundreds of thousands of servers-by one estimate, in excess of 450,000-rack servers tied up in thousands of clusters in dozens of data centers around the world. Google has Latent Semantic Indexing LSI algorithmically programmed data centers in Dublin, Ireland; in Virginia; and in California, where it just acquired the million-square-foot headquarters it had been leasing. It recently opened a new center in Atlanta, and is currently building two football-field-sized centers in The Dalles, Ore. Latent Semantic Indexing LSI is able to represent and manipulate large data sets, making it viable for real-d applications. Compared to other information retrieval techniques, LSI performs surprisingly well. LSI relies on the constituent terms of a document to suggest the document's semantic content. However, the LSI model views the terms in a document as somewhat unreliable indicators of the concepts contained in the document. It assumes that the variability of word choice partially obscures the semantic structure of the document. By reducing the dimensionality of the term-document space, the underlying, latent semantic relationships between documents are revealed, and much of the "noise" (differences in word usage, terms that do not help distinguish documents, etc.) is eliminated. Latent Semantic Indexing LSI SEO algorithms statistically analyze the patterns of word usage across the entire document collection, placing documents with similar word usage patterns near each other in the term-document space, and allowing semantically-related documents to be near each other even though they may not share terms. Latent Semantic Indexing LSI and SEO differs from previous attempts at using reduced-space models for information retrieval in several ways. In one test, Dumais found LSI provided more related documents than standard word-based retrieval techniques when searching the standard MED collection. Over five standard document collections, the same study indicated LSI performed an average of better than lexical retrieval techniques. In addition, LSI is fully automatic and easy to use, requiring no complex expressions or syntax to represent the query. Because terms and documents are explicitly represented in the space, relevance feedback can be seamlessly integrated with the LSI model, providing even better overall retrieval performance.
     
    Elfen Lied, Jan 17, 2013 IP
  13. joseprincely

    joseprincely Member

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    #13
    LSI stands for [FONT=Arial, Tahoma, Helvetica, FreeSans, sans-serif]Latent Semantic Indexing[/FONT]. It is a data retrieval technique which finds connection between words and the use of synonyms while fetching data from the index.
     
    joseprincely, Jan 19, 2013 IP
  14. war_machine

    war_machine Active Member

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    #14
    LSI is way which gives the knowledge about the web content, keyword and their synonyms in page content to search engine. it is easy for google to understand the web content and their synonym word.
     
    war_machine, Jan 20, 2013 IP
  15. andersonsjohn

    andersonsjohn Banned

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    #15
    LSI obviously represents terms and documents in a rich, high-dimensional space, allowing the underlying, semantic relationships between terms and documents to be exploited during searching. Latent semantic indexing, or LSI, is a concept, not a technique. All that's necessary do to satisfy the contextual relevance part of the Google algorithm is to write naturally about your subject and do not try to fool search engines through the endless repetitive use of keywords without any other contextually relevant content. It is not a technique, it is common sense and good and clear writing practice.
     
    andersonsjohn, Jan 22, 2013 IP
  16. icecube media

    icecube media Greenhorn

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    #16
    LSI is very useful to maintain the keyword density and to be safe from keyword stuffing.
     
    icecube media, Jan 23, 2013 IP
  17. bunny2790

    bunny2790 Member

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    #17
    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.
     
    bunny2790, Jan 23, 2013 IP
  18. redchillies

    redchillies Greenhorn

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    #18
    LSI or Latent Semantic Indexing is used in internet marketing which enables search engines to look not only for keywords but also for words which are close in meaning to keywords and phrases or synonyms.
    eg:”magazine” and “periodical”
     
    redchillies, Jan 24, 2013 IP
  19. joseprincely

    joseprincely Member

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    #19
    Latent Semantic Indexing is different in a sense that it does not only analyze keywords in a single document, but Latent semantic indexing not only examines keywords in a single document but takes into account the collection of document for keyword in text analysis.
     
    joseprincely, Jan 24, 2013 IP
  20. offshoredataentry

    offshoredataentry Member

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    #20
    Latent Semantic Indexing is very useful and most beneficial to choose right keyword. When you can type some keywords in Google then also some other keywords display on below searching that's call LSI.
     
    offshoredataentry, Jan 24, 2013 IP