tfidf_model = TfidfVectorizer(binary=False, decode_error='ignore', stop_words='english') vec = tfidf_model.fit_transform(corpus) tfidf_model.get_feature_names() # 2 from sklearn.feature_extraction.text import TfidfVectorizer tfidf_model = TfidfVectorizer(stop_words='english', ngram_range...