An augmented multilingual Twitter dataset for studying the COVID-19 infodemic

CE Lopez, C Gallemore - Social Network Analysis and Mining, 2021 - Springer
This work presents an openly available dataset to facilitate researchers' exploration and
hypothesis testing about the social discourse of the COVID-19 pandemic. The dataset …

Bayesian-based optimized deep learning model to detect COVID-19 patients using chest X-ray image data

M Loey, S El-Sappagh, S Mirjalili - Computers in Biology and Medicine, 2022 - Elsevier
Abstract Coronavirus Disease 2019 (COVID-19) is extremely infectious and rapidly
spreading around the globe. As a result, rapid and precise identification of COVID-19 …

[HTML][HTML] A review on Natural Language Processing Models for COVID-19 research

K Hall, V Chang, C Jayne - Healthcare Analytics, 2022 - Elsevier
This survey paper reviews Natural Language Processing Models and their use in COVID-19
research in two main areas. Firstly, a range of transformer-based biomedical pretrained …

[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 …

Analisis Sentimen Tweet Vaksin COVID-19 Menggunakan Recurrent Neural Network dan Naïve Bayes

M Lestandy, A Abdurrahim, L Syafa'ah - Jurnal RESTI (Rekayasa …, 2021 - jurnal.iaii.or.id
COVID-19 has become a global pandemic including Indonesia, so the government is taking
vaccinations as a preventive measure. The public's response to this continues to appear on …

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 …

COVID-19 vaccines related user's response categorization using machine learning techniques

A Shahzad, B Zafar, N Ali, U Jamil, AJ Alghadhban… - Computation, 2022 - mdpi.com
Respiratory viruses known as coronaviruses infect people and cause death. The multiple
crown-like spikes on the virus's surface give them the name “corona”. The pandemic has …

Sentiment analysis tracking of COVID-19 vaccine through tweets

A Sarirete - Journal of Ambient Intelligence and Humanized …, 2023 - Springer
Recent studies on the COVID-19 pandemic indicated an increase in the level of anxiety,
stress, and depression among people of all ages. The World Health Organization (WHO) …

Mining the vaccination willingness of China using social media data

J Ding, A Wang, Q Zhang - International Journal of Medical Informatics, 2023 - Elsevier
Objective Vaccination is one of the most powerful and effective protective measures against
Coronavirus disease 2019 (COVID-19). Currently, several blogs hold content on vaccination …

Sentiment analysis of COVID-19 vaccine on Twitter social media: systematic literature review

KK Agustiningsih, E Utami… - 2021 IEEE 5th …, 2021 - ieeexplore.ieee.org
This study attempted to review studies on sentiment analysis of COVID-19 vaccine using
Twitter as the source data. It was conducted to understand methods to collect, preprocess …