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- # Tokenizing text
- from sklearn.feature_extraction.text import CountVectorizer
- count_vect = CountVectorizer()
- X_train_counts = count_vect.fit_transform(twenty_train.data)
- from sklearn.feature_extraction.text import TfidfTransformer
- tf_transformer = TfidfTransformer(use_idf=False).fit(X_train_counts)
- X_train_tf = tf_transformer.transform(X_train_counts)
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