Multimedia Network Public Opinion Supervision Prediction Algorithm Based on Big Data

Abstract

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.

Interoperability of Multimedia Network Public Opinion Knowledge Base Group Based on Multisource Text Mining

“…When mining and analyzing the geographic data of the multimedia network from the perspective of a single data, the result is one-sided and lacks the connotation of knowledge. erefore, it is necessary to use the multimedia network knowledge base group as a storage environment and combine the multimedia network knowledge base group for interoperability to store, mine, and analyze multimedia network knowledge [15].…”

Network Public Opinion Risk Prediction and Judgment Based on Deep Learning: A Model of Text Sentiment Analysis

“…At the same time, when people speak and comment on a real-time event on the Internet, the negative information will be more easily noticed by netizens. Tat is, the higher the number of views and clicks of the content, the greater the impact of negative emotions on the people [11][12][13]. If the public sentiment trend in the public opinion environment is not paid attention to and correctly guided in a timely manner, netizens may be eroded by these negative emotions and begin to complain about the current situation and even the current national conditions.…”

Large-Scale Multimedia Communication on A Cloud Computing Platform

“…It impacts the reputation and trustworthiness of news outlets and public opinion. Realtime big data technologies underlie multimedia network public opinion communication (Tong and Sun, 2020). Subtlety is the computational scale for perspective aggregation in communication.…”