What is Latent Semantic Indexing?
By Abhinn Gupta
Latent semantic indexing or LSI as it is normally known is now extensively considered to have formed a significant part of the way that Google assesses websites and their contents that they contain. This is imperative, because the 'value' that Google place on a website and content materials will to a certain extent dictate where they rank those contents on their results pages.
LSI is an increasingly well recognized word relationship system or technique that is based on the idea that some words just naturally go together. For example where ever there is a mention of bread, there are chances that butter, cheese or jam would also be there. This will associate the site with sandwich as well. Or when there is mention of a war the word army would also appear naturally because of its obvious association will link it with destruction and disorder as well. This relating word concept that Google have incorporated into the latest version of their search engine algorithm which they use to assess the value of websites and blogs as well as their content. If the Google spider recognizes a particular word on a page, and the LSI algorithm suggests that another closely related word should appear, that page or article will achieve a higher rating if that associated word makes an appearance. This enables the search engine to classify that particular page, blog or article far more accurately than traditional keyword research methods have done so far.
The importance of LSI lies in the fact that this form of word relation and its recognition and document association is remarkably similar to the way that an average human mind works too. Thus, by incorporating LSI into the search algorithm, latent semantic indexing is making search engines more human and user friendly.
LSI not just helps you to find related matter easily, but also helps writers write more objectively and forces them to produce relevant text instead of the old trick of simply writing the same keyword again and again to get search results which was the previous practice to draw traffic. Now objectivity and relevance has taken its place.
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