Timely understanding of affected areas during disasters is essential for the implementation
of emergency response activities. As one of the low-cost and information-rich volunteer …

Due to the effects of climate change and urbanization, the severity and frequency of hazard
events is expected to increase. The energy sector in the United States is ever more …

We propose bidirectional imparting or BiImp, a generalized method for aligning embedding
dimensions with concepts during the embedding learning phase. While preserving the …

Detecting and collecting public opinion via social media can provide near real‐time
information to decision‐makers, which plays a vital role in urban disaster management and …

Effective disaster response is critical for communities to remain resilient and advance the
development of smart cities. Responders and decision-makers would benefit from reliable …

Extreme weather events become more frequent in the context of global climate change.
Understanding how the public sense and perceive extreme weather events such as …

This study examines public sentiment during the COVID-19 pandemic, considering time,
space, and the severity of the event, and leverages the marginal rate of substitution (MRS) …

Data mining applications have the potential to address current deficiencies in the provision
of humanitarian aid in natural disasters. Simultaneous text and image analysis in crowd …

The use of social media in crisis informatics has become increasingly popular across a
range of disciplines. Leveraging natural language processing (NLP) techniques enables the …

Social media platforms such as Twitter are a vital source of information during major events,
such as natural disasters. Studies attempting to automatically detect textual communications …