Research On The Characteristics Of Internet Public Opinion Information Transmission And Emotional Evolution In Mobile Environment

With the development of modern science and technology,especially with the widespread use of computers and the gradual popularization of the Internet,the mobile Internet has become the main medium for the spread of the public opinion and the emotional evolution on the Internet Network public opinion which is based on the network as the carrier and the event as the core becomes the majority expression,propagation,or interaction of the Internet users' emotion,attitudes,opinions and points.In addition,it is the collection of the follow-up influence.Emotions convey people's opinion or evaluation of an event.Researching on the research of network public opinion information propagation and emotion under the mobile environment can fully exploit the public,take advantages of mobile Internet,and strengthen the network supervision under the mobile environment.This article takes the topic of Sina Weibo "Chinese women's volleyball team won the Rio Olympic Games" as an example.First of all,based on social network analysis method,summarize mobile Internet environment analysis of the characteristics of communication.Second,using the Naive Bayesian classifier,study on the emotional evolution of online public opinion under the mobile environment.The article is divided into six chapters.The first chapter introduces the background and research significance,research status at home and over abroad,including the content methods and innovations.Followed by Naive Bayesian classifier,mobile environment,emotional evolution of online public opinion Study.This article is divided into six chapters.The second chapter introduces the network public opinion,emotional evolution,social network analysis and naive Bayesian.In the third chapter,we use the social network analysis method to analyze the characteristics of the network public opinion information propagation under the mobile environment from the central network structure.In the third chapter,we use Gephi software to simulate and analyze the topic,for a better understand and grasp the network public opinion communication process and rules.In the fourth chapter,we use the naive Bayesian classifier to establish the emotional evolution model of network public opinion in mobile environment,and analyze the emotional visualization of word frequency statistics,geographical statistics and time statistics to grasp the emotional evolution rule of network public opinion.In the fifth chapter,proposed a management strategy.It is of great significance for the network public opinion supervisors to strengthen the supervision of network public opinion and correctly guide the network public opinion trend.Finally,in the sixth chapter,the paper summarizes the research conclusions and analyzes the shortcomings in the research.Looking forward to the future research direction.Based on the theoretical level,starting from the characteristics and path characteristics of the Internet public opinion information propagation,combined with emotional evolution analysis,this paper validating the theory of mobile Internet public opinion information propagation,social network characteristics and emotional evolution rules.It provides a new idea for the research of information propagation and emotional evolution of network public opinion in mobile environment.On the application level,combined with specific topic analysis,it provides feasible strategies for government and online public opinion managers to conduct rapid and accurate public opinion guidance under the background of big data.