[Solved] What will be printed by this Python code snippet? from sklearn.metrics.pairwise import cosine_similarity import numpy as np v1 = np.... What will be printed by this Python code snippet? | NLP

NLP - Text Similarity and Search

What will be printed by this Python code snippet?

from sklearn.metrics.pairwise import cosine_similarity
import numpy as np
v1 = np.array([[1, 0, 0]])
v2 = np.array([[0, 1, 0]])
similarity = cosine_similarity(v1, v2)
print(similarity[0][0])

A0.5

B1.0

C0.0

DError due to shape mismatch

Step-by-Step Solution

Solution:

Step 1: Understand vectors
v1 and v2 are orthogonal unit vectors along different axes.
Step 2: Compute cosine similarity
Cosine similarity between orthogonal vectors is 0.
Final Answer:
0.0 -> Option C
Quick Check:
Orthogonal vectors have zero cosine similarity. [OK]

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

Common Mistakes:

MISTAKES

Assuming similarity is 1 for any vectors
Confusing dot product with cosine similarity
Ignoring vector shapes

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What will be printed by this Python code snippet?

Step 1: Understand vectors

Step 2: Compute cosine similarity

Final Answer:

Quick Check:

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