Research on mining methods of public opinion related topics in network multimedia data

Chunyan Song; Shan Yu

doi:10.1117/12.2627998

11 March 2022 Research on mining methods of public opinion related topics in network multimedia data

Chunyan Song, Shan Yu

Proceedings Volume 12160, International Conference on Computational Modeling, Simulation, and Data Analysis (CMSDA 2021); 121601V (2022) https://doi.org/10.1117/12.2627998
Event: International Conference on Computational Modeling, Simulation, and Data Analysis (CMSDA 2021), 2021, Sanya, China

Abstract

With the continuous development of network technology and Internet technology, the current amount of network multimedia data is increasing, which affects the supervision of network public opinion to a certain extent. In order to ensure the extraction efficiency of the element information of network public opinion association subject, this paper deeply analyzes the mining methods of the public opinion association subject in the network multimedia data, that is, in the specific research, the relevant contents of the network public opinion association are taken as the starting point to analyze the data mining methods. Through research and exploration, the effective application of data mining methods of public opinion related topics can improve the mining efficiency and accuracy of network multimedia data, and provide effective data support for the supervision of network public opinion, that is, to support the public network with various opinions, which is conducive to supervision.

Citation Download Citation

Chunyan Song and Shan Yu "Research on mining methods of public opinion related topics in network multimedia data", Proc. SPIE 12160, International Conference on Computational Modeling, Simulation, and Data Analysis (CMSDA 2021), 121601V (11 March 2022); https://doi.org/10.1117/12.2627998

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