Data-driven Public Opinion Ecological Map Construction and Multi-dimensional Feature Analysis
[Purpose/significance]This paper explored the construction of an ecological map of online public opinion,and applied it to the multidimensional characteristics analysis of the evolution process of public opinion,so as to provide support for efficient public o-pinion supervision.[Method/process]From the perspective of information ecology,based on the entity extraction and relationship con-struction techniques,this paper carried out the construction of public opinion ecological map and multi-attribute feature analysis from three dimensions:public opinion topics,participating subjects and temporal evolution,respectively.[Result/conclusion]The group deviation in opinion field can easily lead to the derivation of public opinion,and the topic feature mining and attribution analysis can re-alize the effective monitoring of the derivation of public opinion.The influence nodes show diversification and official dominance,and the key subjects promoting the development of public opinion can be found through the interactive relationship,which is conducive to the reasonable adjustment of the convergence,differentiation and evolution direction of public opinion.Time series evolution analysis can ef-fectively extract the reversal rule of public opinion and assist in the monitoring and judgment of public opinion.
information ecologypublic opinion mapLDA topic modelsocial networkemotional evolution
万方数据
维普
