Question: tfidfvectorizer how does it work?
Answer: 3 Answers. TfidfVectorizer - Transforms text to feature vectors that can be used as input to estimator. vocabulary_ Is a dictionary that converts each token (word) to feature index in the matrix, each unique token gets a feature index. ... In each vector the numbers (weights) represent features tf-idf score.