Semantic analysis and search engine optimization based on search rankings

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One of the foundations of search engine rankings is the relevance of keywords to Web pages.

Machine algorithm and people are not the same place is that people can directly understand the meaning of the word, the meaning of the article, machine and algorithm can not understand. People see the two words of Apple to know refers to the round, there is water is very delicious things, search engines can not understand from the perceptual.

But search engines can grasp the relationship between words, which involves semantic analysis. Two years ago, SEO industry talked enthusiastically about a burst of latent semantic indexing (latent semantic indexing). Because time is longer, remember is not very clear, probably introduced.

The so-called Latent Semantic index refers to how to find the relationship between words through massive literature. When two words or a group of words appear in the same document in large quantities, these words can be considered semantically relevant.

For example, the two words computer and computer often mix when people write articles, these two words appear at the same time in a lot of web pages, the search engine will think that these two words are extremely semantically related.

Note that latent semantic indexing does not depend on language, so SEO and search engine optimization Although one is English, one is Chinese, but these two words appear in a large number of the same Web page, although the search engine can not know what search engine optimization or SEO refers to, but the semantics of the "SEO", " Search engine optimization, "Search engine Optimization", "SEM" and other words tightly linked together.

The two words of apples and oranges are also found in the same document, but the tightness is less than synonymous.

The search engine has not used the latent semantic index, has not been conclusive, because the search engine neither admits nor denies. But the fact is that in 2002 Google bought Allied Semantic, a company with a patent for potentially semantic indexing.

This semantic analysis technique can give us some hints on search engine optimization.

The formation of website theme

Usually logical and structured sites are divided into different channels or columns. Talk about some different, but closely related, topics on a variety of channels that collectively form the theme of the site. Search engine in the entire site included in the page, can be based on the semantic relevance between these keywords to determine the theme of the site.

Web content Writing

Starting two years ago, search engine rankings have a phenomenon, search for a keyword, ranked in front of the page sometimes does not even contain the search keywords, it is likely that the potential semantic index at work.

For example, search the computer, row in front of the page may appear a only mention the computer but did not mention the computer. Because search engines use semantic analysis to know that these two words are closely related. Another thing to note is that when writing a Web page, do not confine yourself to the target keyword, it should contain words similar to that of the main key words to support the main keyword.

This is also reflected in the search results, some articles although a large number of main keywords, but the lack of other support vocabulary, ranking is often bad.