TF(word inside a document)= Amount of occurrences of that term in document / Range of words in document and predicts based upon which joint distribution has the highest probability. The naive assumption from the Naive Bayes design is the person words are independent. Consequently: Look at the subsequent illustration: "Jane https://augustgvkxk.oblogation.com/35941868/the-5-second-trick-for-customer-lifecycle