[Solved] What is the output of the following Python code snippet? from sklearn.metrics.... What is the output of the following Python code snippet? | NLP

NLP - Text Similarity and Search

What is the output of the following Python code snippet? from sklearn.metrics.pairwise import cosine_similarity import numpy as np vec1 = np.array([[1, 0, 1]]) vec2 = np.array([[0, 1, 0]]) result = cosine_similarity(vec1, vec2) print(result[0][0])

AUndefined (error)

B1.0

C0.5

D0.0

Step-by-Step Solution

Solution:

Step 1: Understand vectors and cosine similarity
vec1 = [1,0,1], vec2 = [0,1,0]. They have no overlapping nonzero elements, so their dot product is 0.
Step 2: Calculate cosine similarity
Cosine similarity = dot(vec1, vec2) / (norm(vec1)*norm(vec2)) = 0 / (sqrt(2)*1) = 0.
Final Answer:
0.0 -> Option D
Quick Check:
Cosine similarity of orthogonal vectors = 0.0 [OK]

Quick Trick: Orthogonal vectors have cosine similarity zero [OK]

Common Mistakes:

MISTAKES

Assuming similarity is 1 for any vectors
Confusing dot product with cosine similarity
Forgetting to normalize vectors

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More NLP Quizzes

What is the output of the following Python code snippet?

Step 1: Understand vectors and cosine similarity

Step 2: Calculate cosine similarity

Final Answer:

Quick Check:

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