The prediction algorithm design of emergency event for network public opinion

Abstract

The prediction of emergency event occupies an important position in the network public opinion. In this paper, an improved algorithm for emergency event based on statistics of word frequency is presented, which takes BBS, blog, news sites with commentary function as investigated subjects. The experiment shows it can provide the useful ideas and exploration for analysis of public opinion and early warning of mass group incidents.