[Solved] What is the output of this Python code snippet? from sklearn.metrics.pairwise import cosine_similarity import numpy as np emb1 = np.... What is the output of this Python code snippet? | NLP

NLP - Text Similarity and Search

What is the output of this Python code snippet?

from sklearn.metrics.pairwise import cosine_similarity
import numpy as np

emb1 = np.array([[1, 0, 0]])
emb2 = np.array([[0, 1, 0]])
sim = cosine_similarity(emb1, emb2)
print(sim[0][0])

AError

B1.0

C-1.0

D0.0

Step-by-Step Solution

Solution:

Step 1: Understand cosine similarity formula
Cosine similarity measures the cosine of the angle between two vectors. Orthogonal vectors have similarity 0.
Step 2: Analyze given vectors
emb1 is [1,0,0], emb2 is [0,1,0]. They are perpendicular, so similarity is 0.
Final Answer:
0.0 -> Option D
Quick Check:
Orthogonal vectors similarity = 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
Expecting error due to shape

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What is the output of this Python code snippet?

Step 1: Understand cosine similarity formula

Step 2: Analyze given vectors

Final Answer:

Quick Check:

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