图书情报知识 ›› 2022, Vol. 39 ›› Issue (1): 105-118.doi: 10.13366/j.dik.2022.01.105

• 情报、信息与共享 • 上一篇    下一篇

情感视角下的网络舆情研究综述

史伟,薛广聪,何绍义   

  • 出版日期:2022-01-10 发布日期:2022-03-19

Literature Review of Network Public Opinion Research from the Perspective of Sentiment

  • Online:2022-01-10 Published:2022-03-19

摘要: [目的/意义]基于情感视角对国内外网络舆情的研究进展和发展趋势进行分析,旨在帮助相关领域学者了解其研究热点和发展方向,为未来进一步的拓展研究提供理论支持和参考。[研究设计/方法]运用词云、CiteSpace对该领域文献数量、关键词、研究热点进行可视化分析,并通过文献分析法对国内外网络舆情情感分类、情感演化、情感预测和网络舆情治理四个方面的研究进展进行归纳与对比。[结论/发现]通过对国内外相关文献的归纳和整理,综述了情感视角下的网络舆情研究情况,总结出该领域未来的发展方向。[创新/价值]从网络舆情情感分析的不同阶段对国内外网络舆情研究进行梳理,分析了研究要点和未来发展方向,为进一步开展网络舆情研究提供参考。

关键词: 网络舆情, 情感分类, 情感演化, 情感预测, 舆情治理

Abstract: [Purpose/Significance] From the emotional perspective, this paper aims to analyze the domestic and oversea research progress and development trends of network public opinion, which could help scholars in related fields understand the research hotspots and development directions, and provide theoretical support and reference value for further research in the future. [Design/Methodology]With the use of word cloud and CiteSpace,the literature number, keywords, and research hotspots were visualizedly analyzed.Moreover, by using the literature analysis method, the classification, evolution, prediction and governance of network public opinion were concluded and compared within domestic and oversea research. A literature review was conducted for the research on network public opinion and the future development directions were obtained. [Findings/Conclusion] Through the conclusion and organization of relevant literatures at home and abroad, a summary has been made for the research on network public opinion from the perspective of emotion. Moreover, the future development direction of this field has been gained. [Originality/Value] This paper sorts out the research on network public opinion at home and abroad from the different stages of network public opinion sentiment analysis, summarizes the research keypoints and future development directions, which could provide reference for further research on network public opinion.

Key words: Network public opinion, Sentiment classification, Sentiment evolution, Sentiment prediction, Public opinion management