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Impact of Network Public Opinion Disposal Model on Public Value Factors under the Background of Big Data
Author(s) -
Xu Xiao-Long Peng Bo
Publication year - 2021
Publication title -
converter
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.104
H-Index - 1
ISSN - 0010-8189
DOI - 10.17762/converter.230
Subject(s) - alienation , public opinion , government (linguistics) , variety (cybernetics) , big data , data science , object (grammar) , computer science , control (management) , social network (sociolinguistics) , value (mathematics) , phenomenon , public relations , world wide web , political science , data mining , artificial intelligence , law , social media , politics , epistemology , philosophy , linguistics , machine learning
It is the key for the government to control the degree of information alienation to study the mechanism and control model of network public opinion information alienation for big data. This provides a theoretical basis for the government to deal with and manage the network public opinion. This paper uses qualitative analysis of the information alienation mechanism of network public opinion under the big data environment, and expands the evolution mechanism model of network public opinion to the information alienation control model. On this basis, the classification of government control information alienation is studied by numerical simulation. This paper takes the actual forum, blog, website with news comment function as the research object, and proposes a prediction platform construction scheme based on Java, which integrates a variety of prediction models. This provides useful exploration and ideas for quantitative research on the complex social phenomenon of network public opinion.

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