Computer scienceData scienceNLPText representationCount-based text representations

Bag-of-words

Theory

CountVectorizer with stopwords

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You have got a text of 1-3 sentences in the input. You need to sentence tokenize them with NLTK and process them through the Bag-of-words model in sklearn library. Apply the NLTK default stopwords to the Bag-of-words model. Your output should be a matrix with no commas after the end of a list (array).

Write code in your IDE to process the text file and display the results below
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