Latent Semantic Indexing

[andrewdawson]

What is Latent Semantic Analysis (LSI - Indexing) and LSI tools?

Please give me information about this.

[kenneth.robert]

Latent semantic indexing adds an important step to the document indexing process. In addition to recording which keywords a document contains, the method examines the document collection as a whole, to see which other documents contain some of those same words. LSI considers documents that have many words in common to be semantically close, and ones with few words in common to be semantically distant. This simple method correlates surprisingly well with how a human being, looking at content, might classify a document collection. Although the LSI algorithm doesn't understand anything about what the words mean, the patterns it notices can make it seem astonishingly intelligent.

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[faxywoodz]

based on my research about this Latent Semantic Indexing. I think this is using a buzz word for search engines like for example when you query Google for the phrase – women portal like this : ~women portal.

[aira]

it's a process used by the SEs to extract related keywords or terms in a web page content in order to find out what its all about

[~Dark-EyE~]

Latent semantic indexing allows a search engine to determine what a page is about outside of specifically matching search query text.

Example:

A page about Apple computers will likely naturally have terms such as iMac or iPod on it.

[andrewdawson]

Thanks to all.
For giving information about Latent Semantic Indexing

[michellebarkley]

Regular keyword searches approach a document collection with a kind of accountant mentality: a document contains a given word or it doesn't, with no middle ground. We create a result set by looking through each document in turn for certain keywords and phrases, tossing aside any documents that don't contain them, and ordering the rest based on some ranking system. Each document stands alone in judgement before the search algorithm - there is no interdependence of any kind between documents, which are evaluated solely on their contents.

[raven1083]

Originally Posted by kenneth.robert

Latent semantic indexing adds an important step to the document indexing process. In addition to recording which keywords a document contains, the method examines the document collection as a whole, to see which other documents contain some of those same words. LSI considers documents that have many words in common to be semantically close, and ones with few words in common to be semantically distant. This simple method correlates surprisingly well with how a human being, looking at content, might classify a document collection. Although the LSI algorithm doesn't understand anything about what the words mean, the patterns it notices can make it seem astonishingly intelligent.

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thanks for that great information just learn something new today.

[ellathinks]

i think this is an informative info about what you've post..this is additional knowledge especially for me..thanks

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[chyneclicks]

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