In NLP, what is the process of converting words into numerical vectors called?
- Embedding
- Lemmatization
- Stemming
- Tokenization
The process of converting words into numerical vectors in NLP is called 'Embedding.' Word embeddings like Word2Vec, GloVe, and FastText are widely used to represent words as dense vectors in machine learning models.
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