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Why do we use word embeddings in NLP? - Towards Data Science

Natural language processing (NLP) is a sub-field of machine learning (ML) that deals with natural language, often in the form of text, which is itself composed of smaller units like words and characters. Dealing with text data is problematic, since our computers, scripts and machine learning models cant read and understand text in any human sense.