SEMrush We will not go into the details of the executive list statistical calculations ( here you will be able to understand the formulas ).But we can summarize it like this: the importance of the term (TF-IDF value) increases according to the number of times the word appears in the document (TF) . But it is compensated by the number of repetitions in the executive list document collection (IDF), which serves to adjust for the fact that some words appear more frequently in general. How does Google use the TF-IDF calculation?
In the case of Google, the TF-IDF calculation helps the executive list search engine to emphasize the terms and phrases of the content of sites and blogs that really matter for its indexing and ranking. It is worth remembering that Google uses a robot to crawl the contents of the executive list web , therefore, it does not have the human capacity to understand the meaning of the words and the context of the contents. Rather, today it already knows how to do that, thanks to technology that allows it to come ever closer to human intelligence.
The TF-IDF calculation is an example of the technology built into the executive list robot for language processing. Google adopts systems that automatically do these calculations on millions of Internet documents to make sense of what they say.TF-IDF is used as part of Latent Semantic Indexing (LSI ). Google uses this indexing approach to executive list understand the relationships between words, phrases and concepts, that is, the semantics of the texts of a website or blog. This is essentially important when there are words with similar meanings (synonymy) or with more than one meaning (polysemy).