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 …
(CoronaVirus Disease 2019) as a pandemic. A further crisis has manifested mass fear and …
Topic2Labels: A framework to annotate and classify the social media data through LDA topics and deep learning models for crisis response
The abundant use of social media impacts every aspect of life, including crisis management.
Disaster management needs real-time data to be used in machine learning and deep …
Disaster management needs real-time data to be used in machine learning and deep …
[HTML][HTML] Traditional machine learning models and bidirectional encoder representations from transformer (BERT)–based automatic classification of tweets about …
JA Benítez-Andrades, JM Alija-Pérez… - JMIR medical …, 2022 - medinform.jmir.org
Background Eating disorders affect an increasing number of people. Social networks
provide information that can help. Objective We aimed to find machine learning models …
provide information that can help. Objective We aimed to find machine learning models …
Multimodal tweet classification in disaster response systems using transformer-based bidirectional attention model
R Koshy, S Elango - Neural Computing and Applications, 2023 - Springer
The goal of this research is to use social media to gain situational awareness in the wake of
a crisis. With the developments in information and communication technologies, social …
a crisis. With the developments in information and communication technologies, social …
Multi-source multimodal data and deep learning for disaster response: a systematic review
Mechanisms for sharing information in a disaster situation have drastically changed due to
new technological innovations throughout the world. The use of social media applications …
new technological innovations throughout the world. The use of social media applications …
Generalization of convolutional network to domain adaptation network for classification of disaster images on twitter
A Khattar, SMK Quadri - Multimedia Tools and Applications, 2022 - Springer
Social media evolution in the recent past has drastically changed the way the affected
community responds to any disaster. Within moments of happening of any disaster the …
community responds to any disaster. Within moments of happening of any disaster 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 …
Correlating Twitter use with disaster resilience at two spatial scales: A case study of Hurricane Sandy
K Wang, NSN Lam, V Mihunov - Annals of GIS, 2023 - Taylor & Francis
Disaster resilience describes the ability of a community to bounce back from disaster
impacts by resilience building activities. Social media provides an innovative way to observe …
impacts by resilience building activities. Social media provides an innovative way to observe …
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 …
and victims during a disaster. Most of the previous works that identify tweets during a …
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 …
during a disaster. People share opinions, sympathies, situational information, etc., in the …