Word Semantic Variation Mining based on Pos-Word2vec and cloud-model

Words, as the basis of language, have relative stability. But it is also gradually developing. The language variation and change has been an important subfield in sociolinguistics, and has made remarkable achievements. But there is seldom research conducted from the aspect of the natural language processing. This paper applied the distributed word representations to map the word semantic, and used the cloud model to calculate the variation of the word. The experiment shows that our approach achieves better semantic information and useful results in semantic variation and change analysis.