基于交互注意力的突发事件评论对象情感分析

Aspect⁃Based Sentiment Analysis of Emergencies Based on Interactive Attention

现有突发事件网民情感分析研究多为粗粒度的情感分析,为了精准地分析突发事件中网民对不同对象的情感,提出一种基于RoBERTa词嵌入和交互注意力的突发事件细粒度情感分析方法。通过构建RoBERTa-CRF评论对象抽取模型,完成突发事件相关评论对象的抽取。利用交互注意力机制和预训练模型构建RoBBETa-IAN模型,实现评论对象的情感分析。最后,分析突发事件中网民对不同对象的情感,并可视化展示。在构建的微博新闻评论数据集上,RoBERTa-CRF评论对象抽取模型和RoBERTa-IAN情感分析模型的F_(1)值分别为0.76和0.79。

In order to accurately analyze the sentiment of Internet users towards different objects in breaking events,a method of fine⁃grained sentiment analysis of breaking events based on RoBERTa word embedding and interactive attention is proposed.By constructing a RoBERTa⁃CRF comment object extraction model,the extraction of comment objects related to breaking events is completed.The RoBBETa-IAN model is constructed using the interactive attention mechanism and pre-training model to achieve the sentiment analysis of comment objects.Finally,the sentiments of Internet users towards different objects in breaking events are analyzed and visualised.On the constructed Weibo news comment dataset,the F1 values of the RoBERTa-CRF comment object extraction model and the RoBERTa-IAN sentiment analysis model are 0.76 and 0.79 respectively.