The difference between machine algorithms and people are that people can directly understand the meaning of words, the meaning of articles, machines and algorithms can not understand. When people see the word “Apple”, they know that it is a round, watery and delicious thing, but the search engine can’t understand it emotionally.
But search engines can grasp the relationship between words, which involves semantic analysis.
Two years ago, the search engine optimization industry is very enthusiastic talked a while Latent Semantic Indexing (Latent Semantic Indexing). Because the time is longer, I don’t remember very clearly. I will give you an introduction.
The so-called latent semantic index refers to how to find the relationship between words through massive documents. When two words or a group of words appears in the same document in large numbers, they can be considered semantically related.
For example, the words computer and computer are often used when people write articles. These two words appear simultaneously in many web pages, and search engines 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 English, one is Chinese, but the two words appeared in large numbers on the same page, although the search engine can not know search engine What optimization or SEO refers to, but can semantically combine the words “SEO”, “search engine optimization”, “search engine optimization”, “SEM”.
For example, the words apple and orange are also appearing in the same document in large quantities, but the tightness is lower than the synonym.
Whether the search engine uses a latent semantic index is still inconclusive because the search engine neither recognizes nor denies it. But the fact is that in 2002 Google bought Allied Semantic, a company with a patent for potential semantic indexing.
This semantic analysis technique can give us some hints on search engine optimization.
The formation of the website theme
Usually the logical and well-structured websites are divided into different channels or columns. Talk about different but closely related topics on different channels that together form the theme of the site. After the search engine has included the pages of the entire website, it can judge the theme of the website based on the semantic relevance between these keywords.
Web content writing
Since two years ago, there has been a phenomenon in search engine rankings. Searching for a keyword, sometimes in front of the page does not even contain the searched keywords, it is likely that the latent semantic index is working.
For example, if you search for a computer, there may be an article on the front page that mentions only the computer but does not mention the computer. Because search engines know through semantic analysis that these two words are closely related.
Another thing to note is that when writing a web page, don’t limit it to the target keyword. It should include words that are similar to the semantics of the main keyword to support the main keyword.
This is also reflected in the search results. Although some articles have many main keywords, but they lack other supporting vocabulary, the rankings are often not good.