摘要
网络评论的情感主题演变分析对突发事件中网络舆情的控制极具价值。针对情感主题动态性的特点,构建一个基于LDA的情感主题模型,通过对时间与主题和情感的联合建模来分析情感主题随时间的演变,推导了基于Gibbs抽样过程的推理算法,最后通过微博突发事件数据集的分析结果显示了联合模型较高的准确性和情感主题随时间演变过程中良好的应用性。
The analysis of sentiment topic evolution is of great value to the control of network public opinion in emergencies.According to the dynamic characteristics of sentiment topics,this paper constructs a sentiment topic model based on LDA,analyzes the evolution of sentiment topics with time through the joint modeling of time,topic and sentiment,deduces the reasoning algorithm based on Gibbs sampling process,and finally puts forward the analysis results of product reviews and microblog emergency data sets,which shows that the joint model has good accuracy and good applicability in the process of time evolution.
作者
史伟
付月
SHI Wei;FU Yue(School of Economics and Management,Huzhou Normal University,Huzhou,Zhejiang 313000,China;School of Economics and Management,Huzhou University,Huzhou,Zhejiang 313000,China)
出处
《计算机科学》
CSCD
北大核心
2022年第S02期195-200,共6页
Computer Science
基金
国家社会科学基金一般项目(20BXW013)
关键词
时间感知情感主题模型
时间序列
趋势分析
情感分析
Time-aware sentiment-topic model(TST)
Time series
Trend analysis
Sentiment analysis