Multimedia Network Public Opinion Supervision Prediction Algorithm Based on Big Data

This article focuses on the multidimensional construction of the multimedia network public opinion supervision mechanism, puts the research on the background of the era of big data, and based on the analysis and definition of the difference between network public opinion and network public opinion,...

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Main Authors: Yangfan Tong, Wei Sun
Format: Article
Language:English
Published: Wiley 2020-01-01
Series:Complexity
Online Access:http://dx.doi.org/10.1155/2020/6623108
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author Yangfan Tong
Wei Sun
author_facet Yangfan Tong
Wei Sun
author_sort Yangfan Tong
collection DOAJ
description This article focuses on the multidimensional construction of the multimedia network public opinion supervision mechanism, puts the research on the background of the era of big data, and based on the analysis and definition of the difference between network public opinion and network public opinion, deeply summarizes the network public opinion in the era of big data. New features analyze the opportunities and challenges faced by online public opinion in the era of big data. Based on the rational construction of the index system, this paper studies the multimedia network public opinion evaluation and prediction algorithm. Existing network public opinion assessment and prediction algorithms have shortcomings in capturing the characteristics of data sequences and the long-term dependence of data sequences, and the problems of overfitting and gradient disappearance may occur during training. Because of the above problems, based on the long-term and short-term memory network model, a regularized method is used to construct a multimedia network public opinion prediction model algorithm. This paper builds a multimedia network public opinion threat rating evaluation model based on the public opinion supervision prediction model and conducts analysis. The model constructed this time can not only improve the accuracy of public opinion assessment and prediction but also better avoid the problem of gradient disappearance and overfitting.
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institution Kabale University
issn 1076-2787
1099-0526
language English
publishDate 2020-01-01
publisher Wiley
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spelling doaj-art-31d63dfdb00a4151a2843393d3e44f102025-02-03T05:51:11ZengWileyComplexity1076-27871099-05262020-01-01202010.1155/2020/66231086623108Multimedia Network Public Opinion Supervision Prediction Algorithm Based on Big DataYangfan Tong0Wei Sun1School of Art, Wuhan University, Wuhan 430072, ChinaSchool of Literature and Journalism, Hunan University of Technology and Business, Changsha 410205, ChinaThis article focuses on the multidimensional construction of the multimedia network public opinion supervision mechanism, puts the research on the background of the era of big data, and based on the analysis and definition of the difference between network public opinion and network public opinion, deeply summarizes the network public opinion in the era of big data. New features analyze the opportunities and challenges faced by online public opinion in the era of big data. Based on the rational construction of the index system, this paper studies the multimedia network public opinion evaluation and prediction algorithm. Existing network public opinion assessment and prediction algorithms have shortcomings in capturing the characteristics of data sequences and the long-term dependence of data sequences, and the problems of overfitting and gradient disappearance may occur during training. Because of the above problems, based on the long-term and short-term memory network model, a regularized method is used to construct a multimedia network public opinion prediction model algorithm. This paper builds a multimedia network public opinion threat rating evaluation model based on the public opinion supervision prediction model and conducts analysis. The model constructed this time can not only improve the accuracy of public opinion assessment and prediction but also better avoid the problem of gradient disappearance and overfitting.http://dx.doi.org/10.1155/2020/6623108
spellingShingle Yangfan Tong
Wei Sun
Multimedia Network Public Opinion Supervision Prediction Algorithm Based on Big Data
Complexity
title Multimedia Network Public Opinion Supervision Prediction Algorithm Based on Big Data
title_full Multimedia Network Public Opinion Supervision Prediction Algorithm Based on Big Data
title_fullStr Multimedia Network Public Opinion Supervision Prediction Algorithm Based on Big Data
title_full_unstemmed Multimedia Network Public Opinion Supervision Prediction Algorithm Based on Big Data
title_short Multimedia Network Public Opinion Supervision Prediction Algorithm Based on Big Data
title_sort multimedia network public opinion supervision prediction algorithm based on big data
url http://dx.doi.org/10.1155/2020/6623108
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AT weisun multimedianetworkpublicopinionsupervisionpredictionalgorithmbasedonbigdata