Tue Jan 22 10:03:13 PST 2019






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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.
http://www.seobook.com/lsi/cover_page.htm

Google bought a company called Applied Semantics, which had a technology
called CIRCA, which is a natural language processing technology used to
conceptually understand content for targeting AdSense ads. They may use it better
understand page content and refine their search relevancy as well.
Latent semantic indexing is a rather expensive process, and many SEO experts
debate to what extent major search engines may be using the technology. It is
likely Google is not using LSI, but they are using some other technologies to
understand word relationships.
If you are knowledgeable about a topic and write naturally about a topic you are far
more likely to write semantically sound copy than if you are writing for keyword
density or some outdated SEO technique.
Most webmasters do not need to know much about LSI or other word relationship
technologies other than to know that mixing their inbound link anchor text is
important and that any LSI-like algorithms aim to rank natural writing better
than clumsy, machine-written content focused on things like keyword
density.
Here is an image from Quintura.com that shows some keywords related to SEO.
As you scroll over any of the related words it also allows you to dig deeper into
words semantically related to those words.




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