What social media told us in the time of COVID-19: a scoping review

SF Tsao, H Chen, T Tisseverasinghe, Y Yang… - The Lancet Digital …, 2021 - thelancet.com
With the onset of the COVID-19 pandemic, social media has rapidly become a crucial
communication tool for information generation, dissemination, and consumption. In this …

Review on COVID‐19 diagnosis models based on machine learning and deep learning approaches

ZAA Alyasseri, MA Al‐Betar, IA Doush… - Expert …, 2022 - Wiley Online Library
COVID‐19 is the disease evoked by a new breed of coronavirus called the severe acute
respiratory syndrome coronavirus 2 (SARS‐CoV‐2). Recently, COVID‐19 has become a …

A performance comparison of supervised machine learning models for Covid-19 tweets sentiment analysis

F Rustam, M Khalid, W Aslam, V Rupapara… - Plos one, 2021 - journals.plos.org
The spread of Covid-19 has resulted in worldwide health concerns. Social media is
increasingly used to share news and opinions about it. A realistic assessment of the …

[HTML][HTML] Public perception of the COVID-19 pandemic on Twitter: sentiment analysis and topic modeling study

S Boon-Itt, Y Skunkan - JMIR public health and surveillance, 2020 - publichealth.jmir.org
Background: COVID-19 is a scientifically and medically novel disease that is not fully
understood because it has yet to be consistently and deeply studied. Among the gaps in …

Sentiment Analysis of COVID-19 tweets by Deep Learning Classifiers—A study to show how popularity is affecting accuracy in social media

K Chakraborty, S Bhatia, S Bhattacharyya, J Platos… - Applied Soft …, 2020 - Elsevier
COVID-19 originally known as Corona VIrus Disease of 2019, has been declared as a
pandemic by World Health Organization (WHO) on 11th March 2020. Unprecedented …

Cross-cultural polarity and emotion detection using sentiment analysis and deep learning on COVID-19 related tweets

AS Imran, SM Daudpota, Z Kastrati, R Batra - Ieee Access, 2020 - ieeexplore.ieee.org
How different cultures react and respond given a crisis is predominant in a society's norms
and political will to combat the situation. Often, the decisions made are necessitated by …

Sentiment analysis and topic modeling on tweets about online education during COVID-19

M Mujahid, E Lee, F Rustam, PB Washington, S Ullah… - Applied Sciences, 2021 - mdpi.com
Amid the worldwide COVID-19 pandemic lockdowns, the closure of educational institutes
leads to an unprecedented rise in online learning. For limiting the impact of COVID-19 and …

Customer satisfaction with Restaurants Service Quality during COVID-19 outbreak: A two-stage methodology

M Zibarzani, RA Abumalloh, M Nilashi, S Samad… - Technology in …, 2022 - Elsevier
Online reviews have been used effectively to understand customers' satisfaction and
preferences. COVID-19 crisis has significantly impacted customers' satisfaction in several …

Social media-based COVID-19 sentiment classification model using Bi-LSTM

M Arbane, R Benlamri, Y Brik, AD Alahmar - Expert Systems with …, 2023 - Elsevier
Internet public social media and forums provide a convenient channel for people concerned
about public health issues, such as COVID-19, to share and discuss information …

Sentimental analysis of COVID-19 tweets using deep learning models

N Chintalapudi, G Battineni, F Amenta - Infectious disease reports, 2021 - mdpi.com
The novel coronavirus disease (COVID-19) is an ongoing pandemic with large global
attention. However, spreading false news on social media sites like Twitter is creating …