Machine learning in disaster management: recent developments in methods and applications
Recent years include the world's hottest year, while they have been marked mainly, besides
the COVID-19 pandemic, by climate-related disasters, based on data collected by the …
the COVID-19 pandemic, by climate-related disasters, based on data collected by the …
Applications of artificial intelligence for disaster management
Natural hazards have the potential to cause catastrophic damage and significant
socioeconomic loss. The actual damage and loss observed in the recent decades has …
socioeconomic loss. The actual damage and loss observed in the recent decades has …
Twitter for disaster relief through sentiment analysis for COVID-19 and natural hazard crises
S Behl, A Rao, S Aggarwal, S Chadha… - International journal of …, 2021 - Elsevier
In emergencies and disasters, large numbers of people require basic needs and medical
attention. In such situations, online social media comes as a possible solution to aid the …
attention. In such situations, online social media comes as a possible solution to aid the …
Improving crisis events detection using distilbert with hunger games search algorithm
This paper presents an alternative event detection model based on the integration between
the DistilBERT and a new meta-heuristic technique named the Hunger Games Search …
the DistilBERT and a new meta-heuristic technique named the Hunger Games Search …
[HTML][HTML] Social media sentiment analysis and opinion mining in public security: Taxonomy, trend analysis, issues and future directions
The interest in social media sentiment analysis and opinion mining for public security events
has increased over the years. The availability of social media platforms for communication …
has increased over the years. The availability of social media platforms for communication …
A social media event detection framework based on transformers and swarm optimization for public notification of crises and emergency management
Social media allows the spread of vital information regarding crises and emergencies. Thus,
emergency management systems can benefit from social media because they can be used …
emergency management systems can benefit from social media because they can be used …
Summarizing situational tweets in crisis scenarios: An extractive-abstractive approach
Microblogging platforms such as Twitter are widely used by eyewitnesses and affected
people to post situational updates during mass convergence events such as natural and …
people to post situational updates during mass convergence events such as natural and …
A stacked convolutional neural network for detecting the resource tweets during a disaster
S Madichetty - Multimedia tools and applications, 2021 - Springer
Social media platform like Twitter is one of the primary sources for sharing real-time
information at the time of events such as disasters, political events, etc. Detecting the …
information at the time of events such as disasters, political events, etc. Detecting the …
Camm: cross-attention multimodal classification of disaster-related tweets
A Khattar, SMK Quadri - IEEE Access, 2022 - ieeexplore.ieee.org
During the past decade, social media platforms have been extensively used for information
dissemination by the affected community and humanitarian agencies during a disaster …
dissemination by the affected community and humanitarian agencies during a disaster …
Multi-modal classification of Twitter data during disasters for humanitarian response
S Madichetty, S Muthukumarasamy… - Journal of ambient …, 2021 - Springer
In recent days, humanitarian organizations rely on social media like Twitter for situational
awareness during the disaster. Millions of tweets are posted on Twitter in the form of text or …
awareness during the disaster. Millions of tweets are posted on Twitter in the form of text or …