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The number of WebPages on the internet is increasing rapidly on the web which is posing a challenge to the search engine crawler. The prime motto of the search engine crawlers is to index the true original content and help the search engine give its users ideal search results. The search engine optimization process started in the nineties and initially the search engine crawlers failed to distinguish between original and copied content. The scenario has changed over the years with the advent of Latent Semantic Indexing (LSI). LSI is a form of artificial intelligence which enhances the search engine’s content analyzing capabilities.

The older search engines failed to distinguish between similar words with different meaning. For example the word Die can be referred in context of a Dice or related to death or clay work.The crawlers also failed to distinguish between words with similar roots like water, watering etc. Singular and plural forms of words like dog and doggies meant the same for old search engines.

Latent Semantic Indexing

The search platforms related with LSI does not just focus on the bunch of keywords. The search engines now days operate on relevance feedback. That is why now days when you search for the keyword tiger woods, you are displayed sites related to golf rather than websites related to tiger conservations and wildlife.

LSI is a concept rather than an algorithm of search engines. The phrase “artificial intelligence “attached to LSI technology echoes its true meaning. LSI is an answer to people who considered themselves smart by writing a meaningless template with rotating synonyms into which any keyword could be inserted innumerable times. LSI analysis is used by Google to detect this kind of spam content where excessive use of irrelevant keywords is used to fool the search engines.