INFORMATION RESEARCH

Measurement and Empirical Study on the Evolution Level of Opinion Clusters of Internet Public Opinion

  • Yan Lu ,
  • Yang Gang ,
  • Zhao Jiangyuan
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  • School of management, Jilin University, Changchun 130022

Received date: 2021-06-20

  Revised date: 2021-09-23

  Online published: 2021-12-18

Abstract

[Purpose/significance] Proposing and constructing the evolution level of Internet public opinion clusters is to describe the evolution degree of the group opinion state of Internet public opinion audiences over time and events. It is of great theoretical and practical significance for Internet public opinion guidance and precise guidance.[Method/process] Based on LDA and CNN neural Internet, the paper constructed a level measurement model of Internet public opinion cluster evolution, and took "Zhai Tianlin CNKI event" as the experimental object to verify the effectiveness of the index of evolution level.[Result/conclusion] The evolution level of Internet public opinion cluster can well reflect the evolution of Internet hot event group opinion state. It can show the attribute values of three dimensions and also reflect the evolution degree of opinion clusters compared with the node state of the previous time. The evolution level measurement results of opinion cluster in this paper accurately reflect each evolution peak of event opinion. It provides a new direction for the relevant departments to target and guide the opinions of Internet public opinion groups.

Cite this article

Yan Lu , Yang Gang , Zhao Jiangyuan . Measurement and Empirical Study on the Evolution Level of Opinion Clusters of Internet Public Opinion[J]. Library and Information Service, 2021 , 65(23) : 106 -115 . DOI: 10.13266/j.issn.0252-3116.2021.23.012

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