Question

What is the purpose of word embeddings in natural language processing?

a) To represent words as numerical vectors

b) To identify the tone or emotion expressed in a text

c) To identify and categorize named entities in a text

d) To generate new text based on input

Answer 1

Solution : a) To represent words as numerical vectors.

Reason: Word embeddings are a technique used in NLP to represent words as numerical vectors, which can be used as input for machine learning algorithms.