Subject Clustering and Evolutionary Trend of Public Opinion Documents in China

Abstract

[Purpose/Significance] With the rapid development of public opinion research, it has attracted scholars in various disciplines and produced fruitful results. Research on the topic clustering and evolution trends of public opinion literature in China can intuitively reveal current research situation and research frontiers in the field. [Method/Process] A total of 1,361 articles published from 1998 to 2019 in the CSSCI database were used as research samples. Citespace and Tableau software were used to analyze the subject clustering and evolution trends of China's public opinion research. [Results/Conclusions] Based on the prediction data and knowledge graph analysis, the development of China's research into public opinions is analyzed and summarized, and related suggestions are proposed to provide a reference for subsequent research in this field.

Keywords

• public opinion and sentiment|literature research|knowledge graph|bibliometrics