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.
Highlights
Big datum is combined with all aspects of our lives, and the data explosion is a characteristic of the era we are currently facing
To more intuitively see the evaluation results and prediction results of the multimedia network based on big data obtained by the algorithm model analysis, the results need to be displayed in the form of web page charts through the web layer, so this paper developed a multimedia network public opinion evaluation and prediction system based on big data
Multimedia network public opinion evaluation is based on big data
Summary
Big datum is combined with all aspects of our lives, and the data explosion is a characteristic of the era we are currently facing. Is research should have reference significance for combining big data technology and mining methods with the field of network public opinion management and enlighten the need to pay attention to the correlation analysis in big data. E process of network public opinion management based on big data focuses on collecting huge and diverse original public opinion data and using data mining and artificial intelligence technology to obtain key information after cluster storage. Every link of the network public opinion management process based on big data has been optimized, from the high-speed automatic collection of information, filtering and deduplication, clustering quantization to analysis and presentation, and output solutions, all showing unparalleled advantages. The prediction algorithm model automatically classifies the data, determines keywords, analyzes text, and researches and alarms. e sample data of research and judgment analysis based on big data can be expanded infinitely, which makes the judgment more accurate and the monitoring scope more extensive
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