面向网络舆情事件的多层次情感分歧度分析方法  

Analyzing Divergence of Multi-layer Sentiment for Online Public Opinion Events

作　　者：华玮 吴思洋 俞超 吴婕洵 徐健[1] Hua Wei;Wu Siyang;Yu Chao;Wu Jiexun;Xu Jian(School of Information Management,Sun Yat-Sen University,Guangzhou 510006,China)

机构地区：[1]中山大学信息管理学院,广州510006

出　　处：《数据分析与知识发现》2023年第4期16-31,共16页Data Analysis and Knowledge Discovery

基　　金：广东省自然科学基金项目(项目编号:2018A030313981)的研究成果之一。

摘　　要：【目的】面对网络舆情事件,从情感分歧角度出发,为舆情分析提供新的分析角度。【方法】引入情感分歧度概念,创建多层次情感分歧度算法,构建网络舆情事件多层次情感分歧度分析模型,对网络舆情事件层、评论对象层、用户层进行情感值及情感分歧度的计算,并将三个层次进行关联分析。【结果】实验结果表明,引入情感分歧度可以弥补原有情感分析研究中对网民意见分歧角度的缺失,本模型可以实现舆情事件关键节点及争议较大的评论对象的识别、判断舆论引导效果,并对舆情争议产生的原因实现精准定位。【局限】仅选取微博作为数据源,未从豆瓣、知乎等其他平台获取数据。【结论】本文模型可应用于监控舆情事件关键节点、根据争议原因选择不同的舆论引导方式以及判断舆论引导效果。[Objective]This paper provides a new model to analyze public opinion from the perspective of sentiment divergence,aiming to address online public opinion events effectively.[Methods]First,we introduced the concept of sentiment disagreement and proposed a multi-level sentiment disagreement algorithm.Then,we constructed a multi-level sentiment disagreement analysis model for online opinion events.This model could calculate sentiment values and disagreement for the online opinion event,comment object,and user layers to perform correlation analysis among the three layers.[Results]Introducing sentiment disagreement can compensate for the lack of research on netizens’opinion divergence in the original sentiment analysis.This model can identify the critical nodes of public opinion events and the comments generating significant controversy.It also evaluates the effectiveness of public opinion guidance and locates the causes of controversies.[Limitations]We only retrieved the needed data from Sina Weibo(Microblog).More research is needed to collect data from social platforms like Douban and Zhihu.[Conclusions]The proposed model can be applied to monitor the key nodes of public opinion events,select different public opinion guidance methods based on the reasons for controversies,and evaluate the effectiveness of public opinion guidance.

关 键 词：情感分歧度 网络舆情分析 多层次 关联分析 

分 类 号：G252[文化科学—图书馆学]