Naturallanguageprocessing, Deep Learning, Artificial Intelligence, Machine Learning, Technology.
those vectors are semantically similar. Word2vec takes as its input a large corpus of text and produces a vector space, typically of several hundred dimensions, with each unique word in the corpus being assigned a corresponding vector in the space, such that words that share common contexts in the