What is the purpose of word embeddings (e.g., Word2Vec, GloVe) in NLP tasks?

Data Science with Python Hard

Data Science with Python — Hard

What is the purpose of word embeddings (e.g., Word2Vec, GloVe) in NLP tasks?

Key points

  • Word embeddings capture semantic relationships in a high-dimensional space.
  • They help in representing words as continuous vectors.
  • One-hot encodings lack the ability to capture semantic and syntactic relationships.
  • Word embeddings like Word2Vec and GloVe are commonly used in NLP tasks.

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