Bird
0
0

Which of the following is the correct way to load pre-trained GloVe embeddings in Python using the gensim library?

easy📝 Syntax Q12 of 15
NLP - Word Embeddings
Which of the following is the correct way to load pre-trained GloVe embeddings in Python using the gensim library?
Aglove = gensim.models.FastText.load('glove.txt')
Bglove = gensim.models.Word2Vec.load('glove.txt')
Cglove = gensim.models.KeyedVectors.load_word2vec_format('glove.txt', binary=False)
Dglove = gensim.load('glove.txt')
Step-by-Step Solution
Solution:

  1. Step 1: Recall GloVe loading method

    GloVe embeddings are loaded as KeyedVectors using load_word2vec_format with binary=False.

  2. Step 2: Check options for correct syntax

    glove = gensim.models.KeyedVectors.load_word2vec_format('glove.txt', binary=False) uses the correct function and parameters for GloVe format.

  3. Final Answer:

    glove = gensim.models.KeyedVectors.load_word2vec_format('glove.txt', binary=False) -> Option C

  4. Quick Check:

    Use load_word2vec_format with binary=False for GloVe [OK]
Quick Trick: Use load_word2vec_format with binary=False for GloVe files [OK]
Common Mistakes:
MISTAKES
  • Using Word2Vec.load for GloVe files
  • Forgetting binary=False parameter
  • Using FastText load for GloVe

Want More Practice?

15+ quiz questions · All difficulty levels · Free

Free Signup - Practice All Questions
More NLP Quizzes
Sentiment Analysis Advanced - Hybrid approaches - Quiz 1easy Text Generation - Beam search decoding - Quiz 2easy Text Generation - N-gram language models - Quiz 9hard Text Similarity and Search - Information retrieval basics - Quiz 15hard Topic Modeling - Visualizing topics (pyLDAvis) - Quiz 7medium Topic Modeling - Topic coherence evaluation - Quiz 1easy Topic Modeling - LDA with scikit-learn - Quiz 2easy Topic Modeling - LDA with scikit-learn - Quiz 13medium Word Embeddings - Pre-trained embedding usage - Quiz 2easy Word Embeddings - Word2Vec (CBOW and Skip-gram) - Quiz 5medium