(A) How important a word is to a specific document
(B) The approximate expected monthly traffic for a keyword
(C) How many times a keyword was used in a URL
(D) Which keywords are better perceived by people
(E) How a search engine sees a keyword
The TF-IDF measures the importance of a specific word in a document by comparing the frequency of its occurrence in that document. Example – If the term weight loss appears 10 times in a 1000 word article and dieting appears 5 times in the same article then weight loss will have a high TF-IDF value when compared to dieting. This TF-IDF value will tell you that the term weight loss is more important because it has appeared more times in the content.
This answer is a part of the SEMrush Content Marketing Toolkit Exam. You can get all the answers with detailed explanation to this exam by visiting our SEMrush Content Marketing Toolkit Certification Exam page.