Explain the concept of word embeddings in NLP.

A) Categorizing words into classes

B) Identifying named entities in a text

C) Representing words as vectors in a continuous space

D) Assigning numerical values to words based on their frequency

Correct Answer : Representing words as vectors in a continuous space

Explanation : Word embeddings involve representing words as vectors in a continuous space.

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