Part of speech(POS) is the basic element of Natural Language Processing(NLP)

word order consists of its conveyed semantic and syntax information

both are the key information of language.There is still lack of such a word embedding model that combines the two together as the influential element.This paper presents the Structured Word2vec on POS that linked the two information of word order and POS together

not only enables the model to sense the words position and order

but alsouse the POS information to establish the inherent syntactic relation between words in the context window.Structured Word2vec on POS is capable to directionally embed the words into context window according to their position

and optimizes the word vector and POSrelevance weight matrix.Experiment through word analogy

word similarity task proved the effectiveness of our method.