NLP - Word Embeddings
Which of the following is the correct way to initialize a Skip-gram Word2Vec model using the Gensim library in Python?
Which of the following is the correct way to initialize a Skip-gram Word2Vec model using the Gensim library in Python?
easy📝 Syntax Q12 of 15
Step-by-Step Solution
Solution:
Step 1: Identify correct parameter for Skip-gram
In Gensim, 'sg=1' sets Skip-gram, 'sg=0' sets CBOW.Step 2: Use correct parameter names
Since Gensim 4.0+, 'vector_size' replaces 'size' for embedding dimension.Final Answer:
Word2Vec(sentences, vector_size=100, window=5, sg=1) -> Option DQuick Check:
sg=1 and vector_size used correctly [OK]
Quick Trick: Use sg=1 for Skip-gram and vector_size for embedding size [OK]
Common Mistakes:
MISTAKES- Using 'size' instead of 'vector_size' in recent Gensim versions
- Setting sg=0 which is CBOW, not Skip-gram
- Confusing sg parameter values
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