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counter vectriozer in python

from sklearn.feature_extraction.text import CountVectorizer
  
document = ["One Geek helps Two Geeks",
            "Two Geeks help Four Geeks",
            "Each Geek helps many other Geeks at GeeksforGeeks"]
  
# Create a Vectorizer Object
vectorizer = CountVectorizer()
  
vectorizer.fit(document)
  
# Printing the identified Unique words along with their indices
print("Vocabulary: ", vectorizer.vocabulary_)
  
# Encode the Document
vector = vectorizer.transform(document)
  
# Summarizing the Encoded Texts
print("Encoded Document is:")
print(vector.toarray())

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counter vectriozer in python

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