The vigorous development of information technology has shaped a new way of information exchange.As emerging media continue to pour into the view of Internet users,public opinion spreads faster and faster,and emotions become normal before the event,so the reversal of Internet public opinion occurs frequently.In order to respond to the reversal of Internet public opinion reasonably and prevent the unnecessary harm caused by the reversal of Internet public opinion to the maximum extent,the necessity of relevant research on it has become increasingly prominent.It is essential to be able to predict the reversal of Internet public opinion.The research on the internal mechanism and prediction model of the reversal of Internet public opinion has played a key supporting role in the early warning,control and response of the Internet public opinionThis study takes the reversal of Internet public opinion as the research object,focusing on the prediction of the reversal of Internet public opinion.In order to making reasonable intervention and put forward effective suggestions for creating a green and harmonious ecological environment of Internet public opinion,it analyzes the internal mechanism of the reversal of Internet public opinion,builds a prediction model of the reversal of Internet public opinion,and puts forward targeted solutions,which will help to give warning in the event period early.First of all,this paper studies the generation mechanism of the reversal of Internet public opinion from the perspective of information ecology.It constructs the research framework of population relationship network of Internet public opinion ecosystem starting with the key population,management population,support population and Internet public opinion information.Then it use fs QCA to obtain the configuration leading to the reversal of Internet public opinion,so as to explore the internal generation mechanism of the reversal of Internet public opinion.Secondly,this paper builds a Prediction model of the reversal of Internet public opinion based on WOE-SVM.it builds an index system that affects the reversal of Internet public opinion from the perspective of Internet public opinion producers,Internet public opinion communicators,Internet public opinion controllers and online public opinion information.Then it uses the theory of weight of evidence to screen indicators and convert data,building a prediction model of the reversal of Internet public based on support vector machine.And carries out model comparative analysis and result evaluation.Finally,specific suggestions and response for the reversal of Internet public opinion are given from the government,media and Internet users with scientific understanding of the occurrence mechanism and prediction model of the reversal of Internet public opinion.Decision-making suggestions are provided for relevant departments in order to promote a new development trend of green and harmonious Internet public opinion ecosystem. |