word embeddings in NLP

what is word embeddings? word embedding is techniques of NLP that mapps the text into lists of vectors to represent word's meaning. how does word embeddings works? numerical conversion vector space semantic clustering Why does this word embeddings matters? word embedding matters because they were the step to make machine work with meaning instead... Weiterlesen