[HTML][HTML] Detection of actionable tweets in crisis events

A Kruspe, J Kersten, F Klan - Natural Hazards and Earth …, 2021 - nhess.copernicus.org
Messages on social media can be an important source of information during crisis situations.
They can frequently provide details about developments much faster than traditional sources …

Humaid: Human-annotated disaster incidents data from twitter with deep learning benchmarks

F Alam, U Qazi, M Imran, F Ofli - … of the International AAAI Conference on …, 2021 - ojs.aaai.org
Social networks are widely used for information consumption and dissemination, especially
during time-critical events such as natural disasters. Despite its significantly large volume …

CrisisBench: Benchmarking crisis-related social media datasets for humanitarian information processing

F Alam, H Sajjad, M Imran, F Ofli - … AAAI conference on web and social …, 2021 - ojs.aaai.org
The time-critical analysis of social media streams is important for humanitarian organizations
to plan rapid response during disasters. The crisis informatics research community has …

MEDIC: a multi-task learning dataset for disaster image classification

F Alam, T Alam, MA Hasan, A Hasnat, M Imran… - Neural Computing and …, 2023 - Springer
Recent research in disaster informatics demonstrates a practical and important use case of
artificial intelligence to save human lives and suffering during natural disasters based on …

What happens where during disasters? A Workflow for the multifaceted characterization of crisis events based on Twitter data

J Kersten, F Klan - Journal of Contingencies and Crisis …, 2020 - Wiley Online Library
Twitter data are a valuable source of information for rescue and helping activities in case of
natural disasters and technical accidents. Several methods for disaster‐and event‐related …

[PDF][PDF] Understanding public perception towards weather disasters through the lens of metaphor

R Mao, Q Lin, Q Liu, G Mengaldo… - Proceedings of the thirty …, 2024 - sentic.net
Extreme weather can lead to weather-induced disasters. These have a profound impact on
communities worldwide, causing loss of life, damage to properties and infrastructure, and …

[PDF][PDF] Combining self-training with deep learning for disaster tweet classification

H Li, D Caragea, C Caragea - … on information systems for crisis response …, 2021 - par.nsf.gov
Significant progress has been made towards automated classification of disaster or crisis
related tweets using machine learning approaches. Deep learning models, such as …

Enhancing crisis-related tweet classification with entity-masked language modeling and multi-task learning

P Seeberger, K Riedhammer - arXiv preprint arXiv:2211.11468, 2022 - arxiv.org
Social media has become an important information source for crisis management and
provides quick access to ongoing developments and critical information. However …

Combining supervised and unsupervised learning to detect and semantically aggregate crisis-related twitter content

J Kersten, J Bongard, F Klan - 18th International Conference on …, 2021 - elib.dlr.de
Twitter is an immediate and almost ubiquitous platform and therefore can be a valuable
source of information during disasters. Current methods for identifying and classifying crisis …

DEES: a real-time system for event extraction from disaster-related web text

N Algiriyage, R Prasanna, K Stock, EEH Doyle… - Social Network Analysis …, 2022 - Springer
The rapid growth of Internet-based communication technologies in the form of Social Media
(SM) and associated mobile applications has enabled people to share information related to …