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  1. import sklearn
  2. from sklearn.feature_extraction.text import TfidfVectorizer
  3. from sklearn.metrics.pairwise import cosine_similarity
  4.  
  5. text1 = 'A smiling costumed woman is holding an umbrella'
  6. text2 = 'A happy woman in a fairy costume holds an umbrella'
  7.  
  8. vectorizer = TfidfVectorizer()
  9. vectors = vectorizer.fit_transform([text1,text2])
  10.  
  11. similarity = cosine_similarity(vectors)
  12. print(similarity)
Success #stdin #stdout 0.5s 73532KB
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[[1.         0.25320945]
 [0.25320945 1.        ]]
https://ideone.com/Xkjdxb
language:
Python 3 (python  3.9.5)
created:
30 days ago
visibility:
public

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