Mining and Analysis of Emergency Information on Social Media

With the advent of the social media era, various social networking sites and social apps are growing at a high speed. As an important product of the WEB 2.0 era, Sina microblog has become an important vehicle for the dissemination of emergency information. In this paper, the textual features of microblogging are first analyzed and then text pre-processed based on the emergency response information of the microblog platform. Based on this, an MB-LDA (MicroBlog-Latent Dirichlet Allocation) topic model based on the “User-Document-Topic-Word” structure is proposed. The aim is to improve the government's ability to respond to emergencies and to improve the efficiency of government emergency information collection by thematically mining and analyzing emergency information in case of emergencies, so as to obtain the actual situation of emergencies and other effective emergency information.