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Latent Semantic Indexing

Discussion in 'Black Hat SEO' started by satyawrat, Nov 29, 2010.

  1. satyawrat

    satyawrat Jr. VIP Jr. VIP

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    What is latent semantic indexing? Let me quote Wikipedia here?
    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. 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.
    Google also uses latent semantic indexing. If you have a site about ?kitty litter? you no only require this word, but also other words that are similar in meaning. This is what LSI keywords are.
    If you do a search on google with a ?~? prefix, you might see interesting results. Lets say our keyword is ?mini car?. We will now google ?~mini car?. Look at the results closely?


    [​IMG]
    You notice ?small car? is also in bold along with the main keyword. Why? Because google thinks in this case mini and small have same contextual meaning. That is why repeating just your main keyword throughout will not help, use semantically related keywords too.​
    In the next post I will be talking a bit more about this and few other things I have left out?


    Source: [my blog]
    Code:
    http://thenewdegree.com/day-11-latent-semantic-indexing
     
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  2. sfisher

    sfisher Newbie

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    Wow I am no mathematician but yes I did some checks on my keywords and yes google came up with some remarkable findings