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What is semantic analysis?                issemantic                   semanticanalysis?Semantic analysis is the study of ...
To better understand what the page is about, they look for terms/phrases that are onthe page to categorize it. In the case...
and tigers are examples of striped animals, although they may realize that stripes andzebras are more semantically connect...
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What is semantic analysis

Semantic analysis is the study of semantics, or the structure and meaning of speech. It is the job of a semantic analyst to discover grammatical patterns, the meanings of colloquial speech, and to uncover specific meanings to words in foreign languages.

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What is semantic analysis

  1. 1. What is semantic analysis? issemantic semanticanalysis?Semantic analysis is the study of semantics, or the structure and meaning of speech. Itis the job of a semantic analyst to discover grammatical patterns, the meanings ofcolloquial speech, and to uncover specific meanings to words in foreign languages. Inliterature, semantic analysis is used to give the work meaning by looking at it from thewriter’s point of view. The analyst examines how and why the author structured thelanguage of the piece as he or she did. When using semantic analysis to study dialectsand foreign languages, the analyst compares the grammatical structure and meaningsof different words to those in his or her native language. As the analyst discovers thedifferences, it can help him or her understand the unfamiliar grammatical structure. Semantic Analysis for SEO SemanticAnalysisSemantic analysis (SA) isn’t really about synonyms and plurals (stemming) as manyfolks in the biz seem to believe. If there is anyone misconception we hear the most, it isthat.Concepts and theme — basically the problem with establishing on-page relevance isthat computers simply don’t understand the language very well (a 6th-grade level last Iheard). So they use SA to try to better understand what a page is about.I like to use the example of the search jaguar. This could be a car, a big cat, an operatingsystem, a football team, etc.
  2. 2. To better understand what the page is about, they look for terms/phrases that are onthe page to categorize it. In the case of the car, we’d find terms/phrases such as automechanic, engine and the animal, short hair, hunts prey and so on.Let’s look at a search for White House. This doesn’t necessarily mean the US capital.This might be simply to a “white” “house.” So the system would look for things such asPresident of the United States. Barack Obama and so on… you get the idea.For example, using LSA, a search engine would recognize that trips to the zoo ofteninclude viewing wildlife and animals possibly as part of a tour.Now, conduct a searchon Google for~Zoo ~trips(the tilde is a search operator; more on this later in thischapter). Note that the boldface words that are returned match the terms that areitalicized in the preceding paragraph. Google is setting “related” terms in boldface andrecognizing which terms frequently occur concurrently (together, on the same page, orin close proximity) in their indexes.Some forms of LSA are too computationally expensive. For instance, currently thesearch engines are not smart enough to “learn” the way some of the newer learningcomputers do at MIT. They cannot, for example, learn through their index that zebras
  3. 3. and tigers are examples of striped animals, although they may realize that stripes andzebras are more semantically connected than stripes and ducks.Latent semanticindexing (LSI) takes this a step further by utilizing semantic analysis to identify relatedweb pages. For example, the search engine may notice one page that talks aboutdoctors and another one that talk about physicians, and determine that there is arelationship between the pages based on the other words in common between thepages. As a result, the page referring to doctors may still show up in a search query thatuses the word physician instead. Search engines have been investing in these types oftechnologies for many years. For example, in April 2003 Google acquiredAppliedSemantics, a company known for its semantic-text-processing technology. Thistechnology currently powers Google’s AdSense advertising program, and has mostlikely made its way into the core search algorithms as well. For SEO purposes, thisusage opens our eyes to realise how search engines recognize the connectionsbetween words, phrases, and ideas on the Web. As semantic connectivity becomes abigger part of search engine algorithms, you can expect a greater emphasis on thetheme of pages, sites, and links. It will be important going into the future to realize thesearch engines’ ability to pick up on ideas and themes and recognize content, links,and pages that doesn’t fit easily into the scheme of a website.

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