Location reference recognition from texts: A survey and comparison

X Hu, Z Zhou, H Li, Y Hu, F Gu, J Kersten, H Fan… - ACM Computing …, 2023 - dl.acm.org
A vast amount of location information exists in unstructured texts, such as social media
posts, news stories, scientific articles, web pages, travel blogs, and historical archives …

Characterizing the propagation of situational information in social media during covid-19 epidemic: A case study on weibo

L Li, Q Zhang, X Wang, J Zhang, T Wang… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
During the ongoing outbreak of coronavirus disease (COVID-19), people use social media
to acquire and exchange various types of information at a historic and unprecedented scale …

Social media in operations and supply chain management: State-of-the-Art and research directions

S Huang, A Potter, D Eyers - International Journal of Production …, 2020 - Taylor & Francis
Recently, industrial and academic communities in the operations and supply chain
management (OSCM) field are paying increasing attention to social media. However, the …

[HTML][HTML] Improving crisis events detection using distilbert with hunger games search algorithm

H Adel, A Dahou, A Mabrouk, M Abd Elaziz, M Kayed… - Mathematics, 2022 - mdpi.com
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 …

A social media event detection framework based on transformers and swarm optimization for public notification of crises and emergency management

A Dahou, A Mabrouk, AA Ewees, MA Gaheen… - … Forecasting and Social …, 2023 - Elsevier
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 …

[HTML][HTML] CrisisTransformers: Pre-trained language models and sentence encoders for crisis-related social media texts

R Lamsal, MR Read, S Karunasekera - Knowledge-Based Systems, 2024 - Elsevier
Social media platforms play an essential role in crisis communication, but analysing crisis-
related social media texts is challenging due to their informal nature. Transformer-based pre …

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 …

A natural language processing approach to understanding context in the extraction and geocoding of historical floods, storms, and adaptation measures

K Lai, JR Porter, M Amodeo, D Miller, M Marston… - Information Processing …, 2022 - Elsevier
Despite the known financial, economical, and humanitarian impacts of hurricanes and the
floods that follow, datasets consisting of flood and flood risk reduction projects are either …

Semiautomated social media analytics for sensing societal impacts due to community disruptions during disasters

C Zhang, W Yao, Y Yang, R Huang… - Computer‐Aided Civil …, 2020 - Wiley Online Library
Understanding the societal impacts caused by community disruptions (eg, power outages
and road closures), particularly during the response stage, with timeliness and sufficient …

A neural-based approach for detecting the situational information from Twitter during disaster

S Madichetty, M Sridevi - IEEE Transactions on Computational …, 2021 - ieeexplore.ieee.org
Twitter is widely considered an essential social media used during a disaster. For the past
five years, there has been a great surge in the use of Twitter during the disaster. A large …