Microblog-Oriented Public "Mass Innovation and Entrepreneurship" Hotspot Identification and Sentiment Analysis and Policy Suggestions

Abstract

In order to obtain a wider public view on the Mass Innovation and Entrepreneurship policy and provide the basis for perfecting relevant policies, this paper proposes the method of hotspot identification and emotion analysis based on microblog, that is, based on the definition of microblog heat, the method first screens out popular microblogs that arouses the social attentions; and then pre-process the microblog about "Mass Innovation and Entrepreneurship" of hot microblogs, identify hot words, construct co-word matrix and dissimilarity matrix with the hierarchical clustering method, thus identify the hotspot of hot microblogs on "Mass Innovation and Entrepreneurship". On the basis of extending the existing emotional dictionary, the emotion analysis method based on dictionary and rule is adopted to analyze the hotspots of microblog. The results show that the emotion classification method based on the extended emotional dictionary improves the accuracy by about 14% with respect to the emotion classification without emotional dictionary extension, and better effect is obtained. This method is applied in the analysis of the Mass Innovation and Entrepreneurship policy, which proves that the proposed public concerned hotspot identification analysis method and the emotion classification method are feasible, and the suggestion of perfecting the Mass Innovation and Entrepreneurship policy is put forward.1