Social media and attitudes towards a COVID-19 vaccination: A systematic review of the literature
F Cascini, A Pantovic, YA Al-Ajlouni, G Failla… - …, 2022 - thelancet.com
Background Vaccine hesitancy continues to limit global efforts in combatting the COVID-19
pandemic. Emerging research demonstrates the role of social media in disseminating …
pandemic. Emerging research demonstrates the role of social media in disseminating …
A systematic review of machine learning techniques for stance detection and its applications
Stance detection is an evolving opinion mining research area motivated by the vast increase
in the variety and volume of user-generated content. In this regard, considerable research …
in the variety and volume of user-generated content. In this regard, considerable research …
Can large language models transform computational social science?
Large language models (LLMs) are capable of successfully performing many language
processing tasks zero-shot (without training data). If zero-shot LLMs can also reliably classify …
processing tasks zero-shot (without training data). If zero-shot LLMs can also reliably classify …
A large-scale COVID-19 Twitter chatter dataset for open scientific research—an international collaboration
As the COVID-19 pandemic continues to spread worldwide, an unprecedented amount of
open data is being generated for medical, genetics, and epidemiological research. The …
open data is being generated for medical, genetics, and epidemiological research. The …
[HTML][HTML] Revealing public opinion towards COVID-19 vaccines with Twitter data in the United States: spatiotemporal perspective
Background The COVID-19 pandemic has imposed a large, initially uncontrollable, public
health crisis both in the United States and across the world, with experts looking to vaccines …
health crisis both in the United States and across the world, with experts looking to vaccines …
Development of deep learning method for predicting DC power based on renewable solar energy and multi-parameters function
S Al-Janabi, Z Al-Janabi - Neural Computing and Applications, 2023 - Springer
In recent decades, the world has witnessed a great expansion in the world of technology
and electronics, in addition to the tremendous development in various industries, which has …
and electronics, in addition to the tremendous development in various industries, which has …
Machine learning techniques for sentiment analysis of COVID-19-related twitter data
N Braig, A Benz, S Voth, J Breitenbach… - IEEE Access, 2023 - ieeexplore.ieee.org
On Twitter, COVID-19 is a highly discussed topic. People worldwide have used Twitter to
express their viewpoints and feelings during the pandemic. Previous research has focused …
express their viewpoints and feelings during the pandemic. Previous research has focused …
Winds of Change: Impact of COVID-19 on Vaccine-related Opinions of Twitter users
Today, administering COVID-19 vaccines at a societal scale has been deemed as the most
appropriate way to defend against the COVID-19 pandemic. This global vaccination drive …
appropriate way to defend against the COVID-19 pandemic. This global vaccination drive …
The role of natural language processing during the COVID-19 pandemic: health applications, opportunities, and challenges
The COVID-19 pandemic is the most devastating public health crisis in at least a century and
has affected the lives of billions of people worldwide in unprecedented ways. Compared to …
has affected the lives of billions of people worldwide in unprecedented ways. Compared to …
[HTML][HTML] CrisisTransformers: Pre-trained language models and sentence encoders for crisis-related social media texts
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 …
related social media texts is challenging due to their informal nature. Transformer-based pre …