Social media platforms play an essential role in crisis communication, but analysing crisis-
related social media texts is challenging due to their informal nature. Transformer-based pre …

During crises such as disasters and pandemics, people share diverse data on social media,
providing actionable information crucial for real-time crisis response. Such valuable …

This study proposes an innovative model (ie, SensoryT5), which integrates sensory
knowledge into the T5 (Text-to-Text Transfer Transformer) framework for emotion …

The Internet's development has prompted social media to become an essential channel for
disseminating disaster-related information. Increasing the accuracy of emotional polarity …

During disasters, timely and accurate information is paramount for effective decision-making
and resource allocation. Social media (SM) platforms, particularly X platform (formerly …

This paper introduces an integrated model designed to analyze topics and sentiments in
textual data simultaneously, recognizing their interdependence. By tackling challenges such …

The task of rating prediction has undergone extensive scrutiny, employing diverse modeling
approaches to enhance accuracy. However, it remains uncertain whether a maximum …

In the event of a public safety incident, information diffusion plays a crucial role in the crowd
evacuation process. The diffusion of safety information inhibits the spread of panic and aids …

With the advancement of the Internet, social media platforms have gradually become
powerful in spreading crisis-related content. Identifying informative tweets associated with …