Machine Learning, NLP, Deep Learning, Word2vec, Word Vectors.
found that the similarity of word representations goes beyond syntactic regularities and works surprisingly good for algebraic operations of word vectors. For example, Vector(“King”) — Vector(“Man”)+Vector(“Woman”) = Word(“Queen”) where “Queen” is the closest result vector of word representations.