Latent Semantic Indexing SEO

Latent Semantic Indexing functions as a complex mathematical algorithm or a matrix, a method of linear algebra, and is a technical way of analysing relevant information from different documents and linking them up together. Latent semantic indexing is a mathematical approach based on statistical analysis that is applied to the document indexing process. Latent Semantic Indexing goes beyond the usual keyword search results from a search engine. In addition to considering the particular keyword in the indexing process, Latent Semantic Indexing looks at the document as a whole. In what appears as an intelligent analysis it selects other documents that not only contain the same keywords but also those that contain semantically close or similar textual matter. Thus the search engine has the most relevant and well-written informative pages on its first page to ensure good quality results.

These intelligent connections are attributes of word use patterns that already exist in the set of documents. In reality Latent Semantic Indexing has no method into the meaning of the documents or words it analyses. It is just a mathematical scan of the pattern of the usage of certain words and statistically evaluates the correlation of their use. It thus determines their correlation with a particular subject or text and rates it between 0 and 1.