摘要
针对突发事件的舆情演变态势进行分析,发现社会舆情的演变规律,提出了一种基于情感特征的舆情演化分析方法,该方法包含舆论情感分析模块与舆情演化分析模块。舆论情感分析模块基于BERT预训练模型和BiGRU模型,其中BERT作为词嵌入模型提取舆情文本特征向量,BiGRU则用于提取文本特征向量的上下文联系实现对舆情数据情感极性的精准判别。在舆情演化分析模块中,将舆情的情感特征在时间维度上进行动态可视化建模,并基于其结果实现舆情数据的演化规律解析。在实验部分,利用2020年1月1日到2020年2月19日的100万条新冠肺炎背景下的舆论数据进行了数值实验,实验结果表明,该方法能够有效地对疫情背景下的舆情数据进行演化分析。
In order to analyze the evolution of public opinion under emergencies and discover the law of the evolution of public opinion,a sentiment feature-based public opinion evolution analysis method was proposed,includdinga News Sentiment Analysis Module and a Public Opinion Evolution Analysis Module.The News Sentiment Analysis Module was based on the BERT pre-training model and the BiGRU model,where BERT was extracted as a word embedding,and BiGRU was employed to extract the contextual links of the textual feature vector to achieve a better understanding of the sentiment polarity of public opinion data.In the Public Opinion Evolution Analysis Module,this paper modeled the dynamic visualization of the sentiment features of public opinion in the time dimension,and then based on the visualization results,enabled the resolution of evolutionary patterns of public opinion data.Finally,a numerical experiment was conducted using one million pieces of the COVID-19 news data from January 1,2020 to February 19,2020.The experimental results show that the method proposed in this paper can effectively analyze the sentiment polarity of public opinion data.
作者
甘宇祥
王亚博
薛均晓
张若琪
许书宁
郭毅博
GAN Yu-xiang;WANG Ya-bo;XUE Jun-xiao;ZHANG Ruo-qi;XU Shu-ning;GUO Yi-bo(Zhengzhou United Education Group,Zhengzhou Henan 450001,China;School of Software,Zhengzhou University,Zhengzhou Henan 450002,China;College of Software,Henan Normal University,Xinxiang Henan 453007,China;School of Information Engineering,Zhengzhou University,Zhengzhou Henan 450001,China)
出处
《图学学报》
CSCD
北大核心
2021年第2期222-229,共8页
Journal of Graphics
基金
国家自然科学基金项目(6160051017)
国家重点研发计划项目
河南省高等学校青年骨干教师培养计划。
关键词
新冠肺炎
舆情情感分析
舆情演变分析
COVID-19
analysis of public sentiment and emotion
analysis of public opinion evolution
作者简介
第一作者:甘宇祥(1967-),男,河南信阳人,高级工程师,硕士。主要研究向为大数据与人工智能。E-mail:frencgan@126.com;通信作者:薛均晓(1982-),男,河南南阳人,副教授,博士。主要研究向为人工智能、网络空间安全等。E-mail:xuejx@zzu.edu.cn。
