Theme and sentiment analysis model of public opinion dissemination based on generative adversarial network

Haihong, E; Yingxi, Hu; Peng, Haipeng; Wen, Zhao; Siqi, Xiao; Niu, Peiqing

doi:10.1016/j.chaos.2018.11.036

Cited by 17 publications

(10 citation statements)

References 7 publications

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“…Wang et al summarized the characteristics of online public opinion communication of public health emergencies through case analysis [15]. Haihong et al proposed a multichannel and multicore model to study the development of online public opinion under public health emergencies [16]. Gaspar et al believe that different types and stages of crisis response will be different, and the comments made by netizens do not fully represent their attitude [17].…”

Section: Online Public Opinion On Public Health Emergenciesmentioning

confidence: 99%

Simulation Model on Network Public Opinion Communication Model of Major Public Health Emergency and Management System Design

Wan

Plewczyński

et al. 2022

Scientific Programming

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In order to identify the communication law of network public opinion in major public health emergency, a multifactor communication model based on multiagent modeling is proposed. Based on the SEIR model and NetLogo simulation analysis, the model integrates a variety of network public opinion communication characteristics and extends the existing single network public opinion communication model. Based on these studies, a network public opinion communication management system is designed and developed with Python tools. Case analysis and simulation results show that this model can better simulate the evolution trend of network public opinion communication in major public health emergency; the key communication channels of public opinion play an important role in the evolution of network public opinion, which can control and guide the network public opinion of major public health emergency from the three communication influencing factors of total number, initial number, and communication cycle. Communication cycle refers to the number of days in the process of network public opinion dissemination of major public health emergencies.

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Section: Online Public Opinion On Public Health Emergenciesmentioning

confidence: 99%

Simulation Model on Network Public Opinion Communication Model of Major Public Health Emergency and Management System Design

Wan

Plewczyński

et al. 2022

Scientific Programming

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“…First, various methods have been proposed to study the dissemination model of network public opinion. Considering that the dissemination process of public opinion on social networks is similar to the diffusion mechanism of infectious diseases among people [17] , many research studies on the dissemination model of public opinion are based on the epidemic model [18] . With the development of the dynamic system, complex networks, and other theories, a series of models, such as Susceptible-Infected-Recovered-Susceptible (SIRS), Susceptible-Exposed-Infected-Removed (SEIR), and Susceptible-Known-Infected-Rumor (SKIR) have evolved [19][20][21] .…”

Section: Literature Reviewmentioning

confidence: 99%

Public Opinion Dissemination with Incomplete Information on Social Network: A Study Based on the Infectious Diseases Model and Game Theory

Yuan

et al. 2021

Complex Syst. Model. Simul.

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Given the fragmentation of public opinion dissemination and the lag of network users' cognition, the paper analyzes public opinion dissemination with incomplete information, which can provide reference for us to control and guide the spread of public opinion. Based on the derivative and secondary radiation of public opinion dissemination with incomplete information, the Susceptible-Susceptible-Infected-Recovered-Recovered-Infected (SSIR R-I ) model is proposed. Given the interaction between users, the Deffuant opinion dynamics model and evolutionary game theory are introduced to simulate the public opinion game between dissemination and immune nodes. Finally, the numerical simulation and results analysis are given. The results reveal that the rate of opinion convergence significantly affects disseminating public opinion, which is positively correlated with the promotion effect of the dissemination node and negatively correlated with the suppression effect of the immune node of public opinion dissemination. Derivative and secondary radiations have different effects on public opinion dissemination in the early stage, but promote public opinion dissemination in the later stage. The dominant immune nodes have an apparent inhibitory effect on the spread of public opinion; nevertheless, they cannot block the dissemination of public opinion.

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“…Public opinion dissemination in the mobile Internet environment is different from that in the traditional environment because of the development of mobile communication technology and Internet technology. The development of mobile communication and Internet technology has made cell phones and iPads mobile, so users can carry them around with them, which greatly increases the length of time that Internet users use [3]- [4]. Meanwhile, the fragmented time of Internet users is also fully utilized, so Internet users can participate in the interaction and dissemination of public opinion in a more timely and convenient manner and promote the rapid development of public opinion, which enhances the difficulty of monitoring public opinion to a certain extent [5]- [6].…”

Section: Introductionmentioning

confidence: 99%

A model of online opinion dissemination based on vector autoregressive model of emotional information entropy

Yin,

Chang

2023

Applied Mathematics and Nonlinear Sciences

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In the context of the digitalization of big data information, to solve the problems of timeliness and accuracy of traditional online opinion dissemination models. This paper firstly proposes a vector autoregressive model in the research problem of online opinion dissemination model and constructs a vector autoregressive model based on multivariate time series and unit root test. Then the emotional information entropy is determined based on the statistical characteristics of the emotional index, and the evaluation index is mainly composed of the current mainstream online public opinion dissemination modes. Finally, data analysis of online opinion dissemination modes based on the vector autoregressive model is conducted, and the dissemination efficiency of different modes is compared based on the analysis results. The results show that in the microblog dissemination mode, online public opinion’s dissemination efficiency remains in the range of 38.02% to 44.81%, and its average dissemination efficiency is 41.51%. In the online short video dissemination mode: the online public opinion dissemination efficiency remains between 32.15% to 35.74%, and its average dissemination efficiency is 33.97%. In the consultation mode, online public opinion’s dissemination efficiency remains within the range of 22.06% to 28.99%, and its average dissemination efficiency is 25.61%. In terms of the average dissemination efficiency, the microblog dissemination mode performs better than the other two. Through a comprehensive and objective study of online public opinion dissemination modes, this study has a guiding reference value for improving online public opinion dissemination to promote the development of online public opinion dissemination in China.

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Theme and sentiment analysis model of public opinion dissemination based on generative adversarial network

Cited by 17 publications

References 7 publications

Simulation Model on Network Public Opinion Communication Model of Major Public Health Emergency and Management System Design

Simulation Model on Network Public Opinion Communication Model of Major Public Health Emergency and Management System Design

Public Opinion Dissemination with Incomplete Information on Social Network: A Study Based on the Infectious Diseases Model and Game Theory

A model of online opinion dissemination based on vector autoregressive model of emotional information entropy

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