Google talks about “concept identification”. This is a less-fancy word for Latent Semantic Analysis (LSA). The examples Google provides are wonderful examples of LSI at work.
As you’ll probably know by now, if you want your pages to rank well you should…
Today I’d like to discuss the workings of Latent Semantic Indexing a bit further. It will help you understand the importance of LSI even better and it will also help explain why I wrote a free mini-tool that reduces “noise” out of an article and leaves you with only semantically-relevant words (or “semantic words” as I’ll be referring to them from here on).
Old-school search engine techniques approached keyword searches with sort of an accountant mentality: a word is either found in an article / on a web page or it is not, there is no middle ground.
In addition to indexing the sites that DO contain a specific keyword, Latent Semantic Indexing looks at an entire collection of documents as a whole, that means a subsection of your website, your entire website, and sometimes even your website and several other websites that have multiple links to yours.
