What social media told us in the time of COVID-19: a scoping review
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 …
communication tool for information generation, dissemination, and consumption. In this …
Review on COVID‐19 diagnosis models based on machine learning and deep learning approaches
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 …
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
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 …
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 …
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
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 …
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
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 …
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
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 …
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
Online reviews have been used effectively to understand customers' satisfaction and
preferences. COVID-19 crisis has significantly impacted customers' satisfaction in several …
preferences. COVID-19 crisis has significantly impacted customers' satisfaction in several …
Social media-based COVID-19 sentiment classification model using Bi-LSTM
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 …
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 …
attention. However, spreading false news on social media sites like Twitter is creating …