A social context-aware graph-based multimodal attentive learning framework for disaster content classification during emergencies
SS Dar, MZU Rehman, K Bais, MA Haseeb… - Expert Systems with …, 2025 - Elsevier
In times of crisis, the prompt and precise classification of disaster-related information shared
on social media platforms is of paramount importance for effective disaster response and …
on social media platforms is of paramount importance for effective disaster response and …
Crisismatch: Semi-supervised few-shot learning for fine-grained disaster tweet classification
The shared real-time information about natural disasters on social media platforms like
Twitter and Facebook plays a critical role in informing volunteers, emergency managers, and …
Twitter and Facebook plays a critical role in informing volunteers, emergency managers, and …
Infrastructure ombudsman: Mining future failure concerns from structural disaster response
Current research concentrates on studying discussions on social media related to structural
failures to improve disaster response strategies. However, detecting social web posts …
failures to improve disaster response strategies. However, detecting social web posts …
GunStance: Stance Detection for Gun Control and Gun Regulation
The debate surrounding gun control and gun regulation in the United States has intensified
in the wake of numerous mass shooting events. As perspectives on this matter vary, it …
in the wake of numerous mass shooting events. As perspectives on this matter vary, it …
Disaster assessment from social media using multimodal deep learning
Real-time global event detection particularly catastrophic events has benefited significantly
due to the ubiquitous adoption of social media platforms and advancements in image …
due to the ubiquitous adoption of social media platforms and advancements in image …
Semi-supervised few-shot learning for fine-grained disaster tweet classification
The shared real-time information about natural disasters on social media platforms like
Twitter and Facebook plays a critical role in informing volunteers, emergency managers, and …
Twitter and Facebook plays a critical role in informing volunteers, emergency managers, and …
Disaster Tweets Classification for Multilingual Tweets Using Machine Learning Techniques
Natural disasters have dire consequences for communities, leading to loss of life, property
destruction and environmental devastation. Effective disaster response necessitates prompt …
destruction and environmental devastation. Effective disaster response necessitates prompt …
Contrastive Learning for Multimodal Classification of Crisis related Tweets
Multimodal tasks require learning a joint representation of the constituent modalities of data.
Contrastive learning learns a joint representation by using a contrastive loss. For example …
Contrastive learning learns a joint representation by using a contrastive loss. For example …
Progressive Multimodal Pivot Learning: Towards Semantic Discordance Understanding as Humans
Multimodal recognition can achieve enhanced performance by leveraging the
complementary information from different modalities. However, in real-world scenarios …
complementary information from different modalities. However, in real-world scenarios …
Interactive Event Sifting using Bayesian Graph Neural Networks
J Nascimento, N Jacobs… - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
Forensic analysts often use social media imagery and texts to understand important events.
A primary challengeis the initial sifting of irrelevant posts. This work introduces an interactive …
A primary challengeis the initial sifting of irrelevant posts. This work introduces an interactive …