Thread: Latent semantic analysis?

Can anyone explained me about latent semantic analysis, and how does it relates with SEO?

Latent Semantic Analysis (LSA) is based on the well known Singular Value Decomposition Theorem from Matrix Algebra but applied to text. That is why some of the semantic analysis that is done at the page content level it may also be done on the linkage data.
LSA represents the meaning of words as a vector, thus calculating word similarity.

SEOs have a similar goal. They try to discover which words and phrases are most semantically linked together for a given phrase, so when Search Engines crawl the web, they find that links to particular pages and content within them is semantically related to other information that is currently in their database.

for more infor got there: http://www.seobook.com/archives/000657.shtml

Hi,

Thanks for the information about LSA.

LSA - LATENT SYMANTEC ANALYSIS

LSI is a methodology involving statistical probability and correlation that helps deducing the semantic distance between words. It’s obviously a complex methodology but can be easily applied to understand the relation between certain words in a paragraph or in a document. This methodology is being used while indexing a page in the search engine’s database.s. LSA / LSI websites are constructed with the specific intention of taking away the top rankings of ordinary web sites. These new sites are ruthlessly efficient at bumping “ordinary” sites out of the top slots for a very wide range of search phrases. 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.

Originally Posted by pinklife

Can anyone explained me about latent semantic analysis, and how does it relates with SEO?

i think Latent semantic indexing not only examines keywords in a single document but takes into account the collection of document for keyword in text analysis. This semantic model gives the search engine a bird's eye view on how closely these documents are related.

source

LSI based SEO Services India Latent Semantic Indexing (LSI) Based SEO

i think more help full for you!!!

I think Latent semantic indexing (LSI) the data retrieved by the SE includes clusters of documents and will even often show up relevant documents that do not contain the keyword at all...
and nice link share by govindseo@ & Arvind@ thanks!!!