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corpus = [sent.text.lower() for sent in doc.sents ] | |
cv = CountVectorizer(stop_words=list(STOP_WORDS)) | |
cv_fit=cv.fit_transform(corpus) | |
word_list = cv.get_feature_names(); | |
count_list = cv_fit.toarray().sum(axis=0) | |
"""The zip(*iterables) function takes iterables as arguments and returns an iterator. | |
This iterator generates a series of tuples containing elements from each iterable. | |
Let's convert these tuples to {word:frequency} dictionary""" | |
word_frequency = dict(zip(word_list,count_list)) |
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