# Create TFIDF vectorizer and fit it to training dataset tfidf = TfidfVectorizer(ngram_range=(1,3), stop_words='english', lowercase=True) # Transform train_v4['content'] to vectorize X_train_vec_v4 = tfidf.fit_transform(train_v4["content"])
# Create TFIDF vectorizer and fit it to training dataset tfidf = TfidfVectorizer(ngram_range=(1,3), stop_words='english', lowercase=True) # Transform train_v4['content'] to vectorize X_train_vec_v4 = tfidf.fit_transform(train_v4["content"])