Applying machine learning to identify anti-vaccination tweets during the COVID-19 pandemic

QG To, KG To, VAN Huynh, NTQ Nguyen… - International journal of …, 2021 - mdpi.com
Anti-vaccination attitudes have been an issue since the development of the first vaccines.
The increasing use of social media as a source of health information may contribute to …

Examining the prevailing negative sentiments related to COVID-19 vaccination: unsupervised deep learning of twitter posts over a 16 month period

QX Ng, SR Lim, CE Yau, TM Liew - Vaccines, 2022 - mdpi.com
Despite the demonstrated efficacy, safety, and availability of COVID-19 vaccines, efforts in
global mass vaccination have been met with widespread scepticism and vaccine hesitancy …

[HTML][HTML] Categorizing vaccine confidence with a transformer-based machine learning model: analysis of nuances of vaccine sentiment in Twitter discourse

PE Kummervold, S Martin, S Dada… - JMIR medical …, 2021 - medinform.jmir.org
Background: Social media has become an established platform for individuals to discuss
and debate various subjects, including vaccination. With growing conversations on the web …

Covid-19 vaccine hesitancy: Text mining, sentiment analysis and machine learning on COVID-19 vaccination Twitter dataset

M Qorib, T Oladunni, M Denis, E Ososanya… - Expert Systems with …, 2023 - Elsevier
In 2019 there was an outbreak of coronavirus pandemic also known as COVID-19. Many
scientists believe that the pandemic originated from Wuhan, China, before spreading to …

[Retracted] Deep Learning‐Based Sentiment Analysis of COVID‐19 Vaccination Responses from Twitter Data

KN Alam, MS Khan, AR Dhruba… - … Methods in Medicine, 2021 - Wiley Online Library
The COVID‐19 pandemic has had a devastating effect on many people, creating severe
anxiety, fear, and complicated feelings or emotions. After the initiation of vaccinations …

Automatically detecting and understanding the perception of COVID-19 vaccination: a middle east case study

W Aljedaani, I Abuhaimed, F Rustam… - Social Network Analysis …, 2022 - Springer
Introduction The development of COVID-19 vaccines has been a great relief in many
countries that have been affected by the pandemic. As a result, many governments have …

Analysis of public sentiment on COVID-19 vaccination using twitter

GG Jayasurya, S Kumar, BK Singh… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Social media has become a vital platform for individuals, organizations, and governments
worldwide to communicate and express their views. During the coronavirus disease 2019 …

Aspect based twitter sentiment analysis on vaccination and vaccine types in covid-19 pandemic with deep learning

I Aygün, B Kaya, M Kaya - IEEE Journal of Biomedical and …, 2021 - ieeexplore.ieee.org
Due to the COVID-19 pandemic, vaccine development and community vaccination studies
are carried out all over the world. At this stage, the opposition to the vaccine seen in the …

COVID-19 vaccine hesitancy in the month following the start of the vaccination process

LA Cotfas, C Delcea, R Gherai - International Journal of Environmental …, 2021 - mdpi.com
The occurrence of the novel coronavirus has changed a series of aspects related to people's
everyday life, the negative effects being felt all around the world. In this context, the …

COVID-19 vaccine hesitancy: a global public health and risk modelling framework using an environmental deep neural network, sentiment classification with text …

M Qorib, T Oladunni, M Denis, E Ososanya… - International Journal of …, 2023 - mdpi.com
Popular social media platforms, such as Twitter, have become an excellent source of
information with their swift information dissemination. Individuals with different backgrounds …