Chinese Short Text Analysis Based On Word2vec

With the development of internet technology,internet has became a important part of human life.And text data is growing rapidly because many and many choose to voice their opinion through internet products like Weibo.In the large scale of text data,there exists content about personal feelings and views,and governments and enterprises can dig out valuable public opinion and information when the text data reaches certain scale,which can serve as a kind of support and feedback of import decision.Thus it is meaningful to analyze the tendency of the text data.In this paper,the expansion of emotional inclination dictionary,followed by analysis of text inclination by feature fusion and experimental analysis on Weibo text dataset are conducted,and the result indicates this method shows better behavior than traditional emotional analyzing strategies.