The search engines especially Google and Bing are good at understanding the intention of people who search over internet. That is, the search engine can understand what they search for even if that's not exactly what they search for. Did you ever think how the search engine can perform like this? It is really very difficult, let us have a look at what we SEOs should know about how these things are linked to search & search engines.
The words topic modeling & semantic connectivity sound quite confusing, but, of course they are very crucial to understand the working of search engine and these have direct influence on SEO practices, and so we need to understand them. So here is the surface level of understanding. At present what we are doing is, we used to optimize the websites for specific keywords. For example, suppose “super mario brothers ” is our primary keyword and we optimize the landing pages for the keyword. The idea that we just knowing is when a person comes to search in Google for “super mario brothers”, the search engine supposed to fetch back results that have exactly the words "super mario brothers", that the same keyword in title, description and in webpage content itself. But the search engines are far smarter than this.
Let us go through an excellent example for topic modeling and semantic connectivity. Try searching in Google “That movie where the guy is called The Dude” and you can see the search engine accurately lists the “The Big Lebowski" as first SERP. How do the search engine know that? Well, they've of course linked up the words "movie," "The Dude," those words are very much related to ‘The Big Lebowski’ and that's what the target of a searcher is.
Semantic Connectivity is a searching technique of major search engines like Google and Bing in which a search query targets to not only the exact keywords, but to find the intention and related sense of the words anyone is using for search. Using the smart technique of semantic connectivity, search engines provide more meaningful SERPs by knowing the meaning of search phrase and finding the most significant results from their database.
Unlike typical search engine algorithms for search, semantic connectivity works on the principles of language semantics. Semantic connectivity is based on the word meaning, substance, target and concept of the searched phrase. Semantic connectivity also integrates location, synonyms of a phrase, up to date search trends, word changes and other common language fundamentals to fulfill the search. The initiative of semantic connectivity are derived from various search algorithms and strategies, including keyword-to-concept mapping, graph patterns and fuzzy logic.