Category Archives: Inverse Document Frequency

SEO & Natural Language Discrimination By Semantic Analysis

Posted on August 3, 2011 by Jeffrey Smith

As smart as Google is, their search engine uses an algorithm based on natural language and the relationships or connectivity of semantic occurrences (otherwise known as shingles, i.e. groups of words or phrases) to ascertain context.
These semblances, e.g. relationships are the fabric of relevance and intent and represent the convergence of allowing search engines work [...]

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Posted in Continuity and Topical Relevance, Inverse Document Frequency, Natural Langage Processing, Relevance Score, Search Engine Algorithms, Semantic Connectivity, SEO, Term Weights | Comments Off