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amankharwal/keyword.py Secret

Created December 1, 2020 04:03
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keyword.py
from sklearn.feature_extraction.text import CountVectorizer
#docs = docs.tolist()
#create a vocabulary of words,
cv=CountVectorizer(max_df=0.95, # ignore words that appear in 95% of documents
max_features=10000, # the size of the vocabulary
ngram_range=(1,3) # vocabulary contains single words, bigrams, trigrams
)
word_count_vector=cv.fit_transform(docs)
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