Research On Network Public Opinion Dissemination Mechanism Of Emergency Based On Cluster Analysis

Based on the background of the frequent occurrence of social emergencies and the rapid development of network public opinion,the research of network public opinion dissemination of emergencies has become a hot spot,which attracts great attention of scholars.The government attaches great importance to the study of network public opinion in emergencies.As a technical support,big data technology is also very important for the prediction,supervision and analysis of network public opinion in emergencies.Previous studies have pointed out that in the large data environment,network public opinion has undergone tremendous changes in data volume,complexity and production speed.First,social media and mobile networks have become the main carriers of public opinion information on the Internet.The development of financial media ensures that netizens can get information and express their opinions more easily,including those related to hot social issues.Secondly,network public opinion shows the characteristics of diversification and complexity,and opinion leaders emerge.With the rapid development of new media such as micro-blog,micro-message and small programs,netizens are paying more and more attention to micro-blog news.Based on the fact that the accuracy of manual survey is very low,a more precise and fast clustering analysis algorithm is needed to process and analyze the information text in emergency network public opinion monitoring.Strengthen the early warning and supervision of network public opinion of emergencies,so as to help the government control the negative impact below the warning line.Therefore,the research methods of network public opinion must be innovative based on the thinking of big data analysis.At present,the domestic scholars' research on network public opinion of emergencies is very thorough and diversified,but the literature on the analysis of the relevant data of network public opinion of emergencies using specific big data technology is relatively blank,and the research on the mechanism of network public opinion communication needs to be further deepened.This paper will make a concrete analysis of the representative and typical cases of major emergencies in recent years by using the cluster analysis method of the big data analysis method,establish the network public opinion analysis model of emergencies,bring the data into the case,calculate it with mathematical formulas,cluster the data in order to deepen the network public opinion dissemination mechanism,and plan to governthe network of emergencies for the government.Public opinion puts forward countermeasures.