[Solved] Given the code below, what will be the output of print(model.wv['king'])? from gensim.... Given the code below, what will be the output of print(model.wv['king'])? | NLP

NLP - Word Embeddings

Given the code below, what will be the output of print(model.wv['king'])?

from gensim.models import Word2Vec
sentences = [['king', 'queen', 'man', 'woman'], ['apple', 'banana', 'fruit']]
model = Word2Vec(sentences, vector_size=10, window=2, min_count=1, epochs=5)
print(model.wv['king'])

AA 10-dimensional numpy array representing 'king'

BThe string 'king'

CA list of words similar to 'king'

DAn error because 'king' is not in vocabulary

Step-by-Step Solution

Solution:

Step 1: Understand model.wv['word'] output
Accessing model.wv['king'] returns the vector (array) for 'king'.
Step 2: Check training and vocabulary
'king' is in sentences and min_count=1, so it's in vocabulary and has a vector of size 10.
Final Answer:
A 10-dimensional numpy array representing 'king' -> Option A
Quick Check:
model.wv['word'] = vector array [OK]

Quick Trick: model.wv[word] returns vector array [OK]

Common Mistakes:

MISTAKES

Expecting a string instead of vector
Confusing with similar words list
Assuming 'king' is missing from vocabulary

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More NLP Quizzes

Given the code below, what will be the output of print(model.wv['king'])?

Step 1: Understand model.wv['word'] output

Step 2: Check training and vocabulary

Final Answer:

Quick Check:

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