基于情感分析的高校舆情预测系统

Prediction System of Public Opinion in Universities Based on Sentiment Analysis

为促进高校管理效能的全面提升,构建和谐校园、智慧校园,设计了基于文本情感分析技术的高校舆情预测系统。系统通过对比情感字典,提取留言中的情感特征数据和主题特征数据,融合时间数据和热度数据,建立情感特征模型,使用损失函数修正模型,支持向量机预测舆情爆发的可能性。

Designed a prediction system of public opinion in universities based on sentiment analysis.By comparing sentiment dictionaries,the system extracted data of emotion features and data of thematic features from comments,integrated temporal and popularity data,and established an emotional feature model.A loss function was used to correct the model,and SVM was used to predict the potential for public opinion outbreaks.