西安石油大学学报（自然科学版）2024，Vol.39Issue(1)：135-142,8.DOI:10.3969/j.issn.1673-064X.2024.01.017
基于情感分析和热度预测的网络舆情预测研究
Research on Online Public Opinion Prediction Based on Sentiment Analysis and Heat Prediction
摘要
Abstract
Social media platforms have been the important carriers for public information exchange,therefore,paying attention to and analyzing the emotional tendencies and trends of the public towards social hot events is conducive to timely and accurate understanding of the emotional needs of the public,formulating corresponding measures,guiding public opinion,and maintaining a good online environ-ment.An online public opinion prediction approach based on sentiment analysis and heat prediction is proposed,a text sentiment analy-sis model that integrates multiple features and a heat prediction model based on time series are established,and the effectiveness of the models are verified based on real-world datasets.This study is of great significance for the analysis and prediction of the public opinion environment on social media.关键词
网络舆情预测/情感分析/热度预测/深度学习Key words
online public opinion prediction/sentiment analysis/heat prediction/deep learning分类
信息技术与安全科学引用本文复制引用
赵嵩正,魏娜,李美彦,高鹏飞,顾珣皓..基于情感分析和热度预测的网络舆情预测研究[J].西安石油大学学报（自然科学版）,2024,39(1):135-142,8.基金项目
陕西省社会科学基金项目"基于大数据的重大舆情发现、分析研判和应对策略研究"(2019P004) （2019P004）
