Applications of artificial intelligence for disaster management

W Sun, P Bocchini, BD Davison - Natural Hazards, 2020 - Springer
Natural hazards have the potential to cause catastrophic damage and significant
socioeconomic loss. The actual damage and loss observed in the recent decades has …

Processing social media messages in mass emergency: A survey

M Imran, C Castillo, F Diaz, S Vieweg - ACM computing surveys (CSUR), 2015 - dl.acm.org
Social media platforms provide active communication channels during mass convergence
and emergency events such as disasters caused by natural hazards. As a result, first …

Crisismmd: Multimodal twitter datasets from natural disasters

F Alam, F Ofli, M Imran - … of the international AAAI conference on web …, 2018 - ojs.aaai.org
During natural and man-made disasters, people use social media platforms such as Twitter
to post textual and multimedia content to report updates about injured or dead people …

[HTML][HTML] Using artificial intelligence to identify emergency messages on social media during a natural disaster: A deep learning approach

CJ Powers, A Devaraj, K Ashqeen, A Dontula… - International Journal of …, 2023 - Elsevier
During natural disasters, emergency communication systems become overloaded, and
people are forced to turn to social media to make requests for help. This study employs …

[KIRJA][B] Big crisis data: social media in disasters and time-critical situations

C Castillo - 2016 - books.google.com
Social media is an invaluable source of time-critical information during a crisis. However,
emergency response and humanitarian relief organizations that would like to use this …

Social media analytics for natural disaster management

Z Wang, X Ye - International Journal of Geographical Information …, 2018 - Taylor & Francis
Social media analytics has become prominent in natural disaster management. In spite of a
large variety of metadata fields in social media data, four dimensions (ie space, time, content …

Twitter topic classification

D Antypas, A Ushio, J Camacho-Collados… - arxiv preprint arxiv …, 2022 - arxiv.org
Social media platforms host discussions about a wide variety of topics that arise everyday.
Making sense of all the content and organising it into categories is an arduous task. A …

Crisislex: A lexicon for collecting and filtering microblogged communications in crises

A Olteanu, C Castillo, F Diaz, S Vieweg - Proceedings of the …, 2014 - ojs.aaai.org
Locating timely, useful information during crises and mass emergencies is critical for those
forced to make potentially life-altering decisions. As the use of Twitter to broadcast useful …

An overview of sentiment analysis in social media and its applications in disaster relief

G Beigi, X Hu, R Maciejewski, H Liu - Sentiment analysis and ontology …, 2016 - Springer
Sentiment analysis refers to the class of computational and natural language processing
based techniques used to identify, extract or characterize subjective information, such as …

[HTML][HTML] Geographic situational awareness: mining tweets for disaster preparedness, emergency response, impact, and recovery

Q Huang, Y **ao - ISPRS international journal of geo-information, 2015 - mdpi.com
Social media data have emerged as a new source for detecting and monitoring disaster
events. A number of recent studies have suggested that social media data streams can be …