计算机与数字工程2025，Vol.53Issue(10)：2708-2712,2727,6.DOI:10.3969/j.issn.1672-9722.2025.10.007
基于RoBERTa-WWM-RCNN的疫情评论情感分析
Sentiment Analysis of Epidemic Comments Based on RoBERTa-WWM-RCNN
LI Hao 1ZHANG Jie1
作者信息
- 1. Nanjing University of Posts and Telecommunications,Nanjing 210023
- 折叠
摘要
Abstract
In order to help the government better understand the people's main emotional tendencies during the epidemic peri-od and make more scientific and effective epidemic prevention decisions,this paper proposes an emotional analysis model of epi-demic comment based on RoBERTa-WWM-RCNN.Firstly,the data set is preprocessed by filtering methods such as text segmenta-tion and stoplist.Secondly,RoBERTa model and whole word mask strategy are used to solve the problem of polysemy.Then,circu-lar convolution neural network model is used to obtain more comprehensive contextual semantic feature information.Finally,the emotional polarity of comment data is obtained by Softmax classifier,including positive,neutral and negative.The experimental re-sults show that the model has the best effect on the data set of Weibo epidemic review,with the accuracy rate of 75.62%and the Macro_F1 value of 72.05%.关键词
深度学习/疫情情感分析/RoBERTa-WWM模型/RCNN模型Key words
deep learning/epidemic sentiment analysis/RoBERTa-WWM model/RCNN model分类
数理科学引用本文复制引用
LI Hao,ZHANG Jie..基于RoBERTa-WWM-RCNN的疫情评论情感分析[J].计算机与数字工程,2025,53(10):2708-2712,2727,6.
