[HTML][HTML] COVID-19 outbreak: An ensemble pre-trained deep learning model for detecting informative tweets

SJ Malla, PJA Alphonse - Applied Soft Computing, 2021 - Elsevier
Abstract On 11 March 2020, the (WHO) World Health Organization declared COVID-19
(CoronaVirus Disease 2019) as a pandemic. A further crisis has manifested mass fear and …

[HTML][HTML] A novel method for identifying the damage assessment tweets during disaster

S Madichetty, M Sridevi - Future Generation Computer Systems, 2021 - Elsevier
Detecting the damage assessment tweets is beneficial to both humanitarian organizations
and victims during a disaster. Most of the previous works that identify tweets during a …

Detecting information from Twitter on landslide hazards in Italy using deep learning models

R Franceschini, A Rosi, F Catani, N Casagli - Geoenvironmental Disasters, 2024 - Springer
Background Mass media are a new and important source of information for any natural
disaster, mass emergency, pandemic, economic or political event, or extreme weather event …

[HTML][HTML] A semantic ontology infused deep learning model for disaster tweet classification

KSV Giri, G Deepak - Multimedia Tools and Applications, 2024 - Springer
Twitter has emerged as a powerful Microblogging site in recent years. It has become one of
the immediately reported platforms about any crisis in today's world. During a crisis twitter is …

[HTML][HTML] Detection of situational information from Twitter during disaster using deep learning models

S Madichetty, S Muthukumarasamy - Sādhanā, 2020 - Springer
Twitter is an excellent resource for communicating between the victims and organizations
during a disaster. People share opinions, sympathies, situational information, etc., in the …

Classifying natural disaster tweet using a convolutional neural network and BERT embedding

LSA Dharma, E Winarko - 2022 2nd international conference …, 2022 - ieeexplore.ieee.org
Social media platforms have become a medium to find a vast source of information
throughout the internet. Twitter has become one of the more popular microblogging …

[HTML][HTML] Empowering crisis information extraction through actionability event schemata and domain-adaptive pre-training

Y Zhang, SL Lo, PYW Myint - Information & Management, 2025 - Elsevier
One of the persistent challenges in crisis detection is inferring actionable information to
support emergency response. Existing methods focus on situational awareness but often …

TweetDIS: A large twitter dataset for natural disasters built using weak supervision

R Tekumalla, JM Banda - … Conference on Big Data (Big Data), 2022 - ieeexplore.ieee.org
Social media is often utilized as a lifeline for communication during natural disasters.
Traditionally, natural disaster tweets are filtered f rom t he T witter s tream u sing t he n ame …

Traffic event detection from Twitter using a combination of CNN and BERT

GA Neruda, E Winarko - 2021 International Conference on …, 2021 - ieeexplore.ieee.org
Knowing traffic situations in a real-time manner is essential in modern society. There are
several challenges to using conventional physical sensors. The rise of social media can be …

[HTML][HTML] A novel weighted majority voting-based ensemble approach for detection of road accidents using social media data

SK Raul, RR Rout, D Somayajulu - Social Network Analysis and Mining, 2024 - Springer
Early detection of accidents and rescue are of paramount importance in the reduction of
fatalities. Social media data, which has evolved to become an important source of sharing …