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.