word embeddings

What are word embeddings, and how are they used in NLP?

Word embeddings are key in natural language processing (NLP). They change how machines understand text. These numeric forms of words in a lower-dimensional space hold the meaning and structure of language. This lets machines see how words relate and are similar. Word embeddings are vital for many NLP tasks. These include text classification, named entity…