tfidf = TfidfVectorizer(lowercase=False, )tfidf.fit_transform(questions)

字典键：词语 和 值：tf-idf得分

word2tfidf = dict(zip(tfidf.get_feature_names(), tfidf.idf_))

回答：

https://scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.text.TfidfVectorizer.html

idf_: array of shape (n_features,)The inverse document frequency (IDF) vector; only defined if use_idf is True.