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Since Google and its founders have been in the search business since 1996, they have gained some experience in this field, which is further enhanced by the fact that the people working there are also highly skilled. Therefore, they have not stuck to keyword phrasing and have never used it as a method. Instead, for example, they examine texts on the basis of a principle known as TF-IDF (term frequency-inverse document frequency). This allows them to determine the relevance of a key phrase and the quality of the text. 

This TF-IDF principle is part of several Google patents and, in short, it compares the frequency of certain words in your text with the frequency with which those words appear in other content. The greater the difference in favour of our company essayassistant net, the more relevant our text is to that keyword. This TF-IDF “score” is therefore worth taking into account when writing a text. But how can such a TF-IDF analysis be done? You need the right data. For example, if you have a keyword for which you want to rank well, you can look at the word count for that keyword in the top 10 results. You then adjust the length of your text accordingly. Any SEO tool will do this, even one that already does TF-IDF analysis, such as Link Assistant. Even with a free account, you have the ability to compare an existing URL against the top 10 hits. In the case of Link Assistant, you can use the downloadable WebSite Auditor tool to check how well your website stacks up against the competition for TF-IDF. WebSite Auditor even gives you suggestions on which terms you should use more or less often. And of course it also shows you how your competitors are doing, you can see what your score is for certain keywords, what the average is, you can select a competitor to see how they are performing. It's worth doing a bit of research.

Overall, it's very instructive and even useful to have a tool like this, as you'll get an idea in no time whether you have content to improve based on TF-IDF. (However, you'll also see that it's not just the quality of the content or even the TF-IDF value that determines rankings. After all, there will be competitors that rank better despite a lower score.) So search engines can now rank pages based on the meaning of terms and their relevance. This is called term-based indexing. Search engines are also aware that the appearance of certain terms predicts the appearance of other terms. If the co-occurrence of these terms appears in the text, the text will be displayed as a result for those who search for the term in this way. Searchers are not easily fooled, and that we need to write a really meaningful text on the subject, because only that will rank well. Read https://essayassistant.net/do-my-homework/. We are moving more and more in the direction of Google being able to extract the essence of a text, or the essential parts of a text, and look at how they occur together, and then determine the relevance of your text to a particular search. But let's move on!

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