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# create a TF-IDF vectorizer object
tfidf_vectorizer = TfidfVectorizer(lowercase= True, max_features=1000, stop_words=ENGLISH_STOP_WORDS)
# fit the object with the training data tweets
tfidf_vectorizer.fit(train.tweet)
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