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作 者:安璐[1,2,3] 李吐芬 An Lu;Li Tufen(Center for Studies of Information Resources,Wuhan University,Wuhan 430072;School of Information Management,Wuhan University,Wuhan 430072;Institute of Data Intelligence,Wuhan University,Wuhan 430072)
机构地区:[1]武汉大学信息资源研究中心,武汉430072 [2]武汉大学信息管理学院,武汉430072 [3]武汉大学数据智能研究院,武汉430072
出 处:《图书情报工作》2025年第6期85-95,共11页Library and Information Service
基 金:国家自然科学基金创新研究群体项目“信息资源管理”(项目编号:71921002);国家自然科学基金面上项目“危机情境下网络信息传播失序识别与干预方法研究”(项目编号:72174153)研究成果之一。
摘 要:[目的/意义]探索在用户可接受范围内推荐相异观点,生成网络意见分歧消解路径,减小极化风险。[方法/过程]通过文本聚类和情感分析识别博文观点,综合评价对象、主题和情感判断评论文本是否表示接受,测量用户极性值和接受相异观点的程度,生成网络意见分歧消解路径。[结果/结论]选取微博作为数据来源,提出判断评论文本是否表示接受的规则,F1值达到0.8911。生成的网络意见分歧消解路径能够实现被推荐用户向不同观点的延伸。所提出的网络意见分歧消解策略能够为危机情境下的舆情治理提供参考。[Purpose/Significance]This paper recommends different viewpoints within user's acceptable range to generate resolution path of online opinion disagreement and reduce the risk of polarization.[Method/Process]Firstly,this study identified views through text clustering and sentiment analysis.Secondly,it determined whether a comment represented acceptance based on recognizing the object of a comment,calculating topic similarity between the post and the comment,and sentiment analysis.Then,it calculated users'polarity and the degree to which users could accept different viewpoints,based on which a resolution path of online opinion disagreement was generated.[Result/Conclusion]The Sina Weibo platform is chosen as the data source.It proposes a set of rules to determine whether a comment represents acceptance,with a F1 score of 0.8911.This study provides a possible path for resolving controversy,which can achieve the extension of recommended users to different viewpoints.The resolution path of online opinion disagreements proposed in this study may be able to provide some reference for public opinion governance in crisis situations.
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