Question

How to measure similarity between two sentences using cosine similarity in Python

Answer 1

from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.metrics.pairwise import cosine_similarity

sent1 = "The cat sat on the mat"
#sent2 = "The cat sat on the mat" # Cosine similarity: 1.0000000000000002
sent2 = "The dog sat on the rug"

# Convert sentences to TF‑IDF vectors
vectorizer = TfidfVectorizer()
tfidf = vectorizer.fit_transform([sent1, sent2])

# Compute cosine similarity
similarity = cosine_similarity(tfidf[0:1], tfidf[1:2])

print("Cosine similarity:", similarity[0][0])



'''
run:

Cosine similarity: 0.6029748160380571

'''

 

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