一种基于立场阵营判定的评论信息情感分类方法  

A Sentiment Classification Method for Comment Information Based on Stance Camp Judgment

作　　者：常明芳 曾曦[1] 王海兮[1] 曾华圣 赵姝颖 肖宁 CHANG Mingfang;ZENG Xi;WANG Haixi;ZENG Huasheng;ZHAO Shuying;XIAO Ning(No.30 Institute of CETC,Chengdu Sichuan 610041,China)

机构地区：[1]中国电子科技集团公司第三十研究所,四川成都610041

出　　处：《信息安全与通信保密》2024年第2期105-111,共7页Information Security and Communications Privacy

摘　　要：舆论热点事件发生时,网友会在社交媒体平台发表自己的观点和评论,为准确感知舆论场网民观点态势,针对网络社交媒体平台上网友对时事政治、重大热点事件等话题的评论信息,提出了一种基于立场阵营判定的评论信息情感分类方法。首先对评论信息涉及的评价对象立场阵营进行细分,在此基础上,构建情感分类模型,实现评论信息情感倾向的自动分类,达到准确感知舆论场网民的情感倾向的目的,从而为网络空间舆论风险评估、高危话题研判提供支撑。When a hot public opinion event occurs,netizens will express their opinion and comments on social media platforms.In order to accurately perceive the views and trends of netizens in the public opinion field,this paper proposes a sentiment classification method of comment information based on stance camp judgment for the comment information from netizens on current affairs and politics,major hot events,and other topics on online social media platforms.First,the stance camps of the comment objects involved in the comment information are subdivided.Then,based on this,an sentiment classification model is constructed to automatically classify the sentiment tendency of the comment information,achieving accurate perception of the sentiment tendency of netizens in public opinion field,thus providing support for risk assessment of public opinion in cyberspace and analysis of high-risk topics.

关 键 词：舆论场 评论信息 立场阵营 情感分类 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]