Early Detection of Emergencies in Social Networks Based on BERT-BiLSTM Model
Yong Luo, HaoYu Li · 2025
Social networks are the main channel for people to obtain news at this stage, especially the spread of emergencies. However, while obtaining news in a timely manner, people are also facing the harm of false news and rumors. Therefore, there is a great enthusiasm for the early detection of emergencies and the management of the network environment. For the early detection of emergencies, a model based on BERT-BiLSTM is proposed. This model can realize the early detection of social network emergencies in a timely manner with fewer samples. After experimental verification, among similar algorithms, the accuracy of the test set is 0.9398 when the loss value is the lowest. The test results show that the proposed model can better realize the early detection of social network emergencies.