[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 …
(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 …
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
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 …
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 …
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 …
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 …
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
One of the persistent challenges in crisis detection is inferring actionable information to
support emergency response. Existing methods focus on situational awareness but often …
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 …
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 …
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
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 …
fatalities. Social media data, which has evolved to become an important source of sharing …