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which most of the elements are 0. Bag of words (source: OpenClassRoom) Let’s create this matrix for the train and the test sets, using CountVectorizer : # Bag-of-words from sklearn.feature_extraction.text import CountVectorizer vectorizer = CountVectorizer(min_df=3,max_df=0.9) #Filter words that