When it comes to life and health issues,it can always arouse public attention.In the face of public health emergencies,people tend to pay close attention to the development of the situation and try their best to seek advantages and avoid disadvantages.The development of network media has not only changed people’s living habits,but also made the channels for people to obtain information more diversified.In the environment of highly developed network,network public opinion occupies the center of social public opinion.When public health emergencies occur,online public opinion also has a certain influence on the risk perception and safety protection behavior of the public.Taking COVID-19 event as the research object,this study determined the evolution process of COVID-19 public opinion by studying relevant theories and collecting public opinion data of COVID-19 event,taking Baidu search index and Weibo public opinion heat as reference.This paper proposes that the evolution of public opinion of COVID-19 mainly includes the following four stages: formation,outbreak,resolution and fluctuation.Taking important events during the COVID-19 epidemic period as nodes,combined with the top search list on Weibo and Baidu search index,the analysis of public opinion on pneumonia was carried out.On the basis of the analysis of public opinion of COVID-19,the chain mediation model of the effect of public opinion of COVID-19 on individual safety protection behavior was constructed by taking individual public opinion concern as independent variable,introducing negative emotion and risk perception as mediating variables,and taking safety protection behavior as dependent variable.In reference to the previous theoretical research on the basis of the hypothesis.The study was analyzed by making a scale and carried out a preliminary survey.Formal questionnaire was determined after deleting the items that did not meet the requirements of reliability and validity.A total of 489 valid samples were collected through the website of Questionnaire Star.SPSS 26 and AMOS software were used for reliability analysis and exploratory factor analysis of the sample data,and AMOS software was used for confirmatory factor analysis of the samples.Finally,through SPSS’s Process plugin,Bootstrap method was adopted to verify the chain mediating effect of negative emotions and risk perception on the influence of public opinion attention on individual safety protection behavior in COVID-19 event.Finally,an empirical study was carried out on the constructed model.Based on the Python focused web crawler technology,the content of this microblog published during the COVID-19 epidemic and the comments of "CCTV News" were crawled.Sentiment analysis is carried out on the acquired text data in this study to further analyze the relationship between public opinion,negative emotions and risk perception from two dimensions of time and space.The safety behavior was measured based on the public microblog vote during the COVID-19 epidemic and the wearing of a mask as a reference.Then,the consistency between safety protection behavior and COVID-19 public opinion evolution and the change process of risk perception was verified. |