本文提出一种基于KBertBert+K-means与BiLSTM-ATT的主题情感分析模型从文本主题与情感演化方面对公共卫生事件网络舆情进行研究。请翻译成英文

This article proposes a topic-sentiment analysis model based on KBert (Bert+K-means) and BiLSTM-ATT, which studies the public opinion of public health events network from the perspective of text topic and sentiment evolution.