Sentiment analysis in social media data for depression detection using artificial intelligence: a review
NV Babu, EGM Kanaga - SN computer science, 2022 - Springer
Sentiment analysis is an emerging trend nowadays to understand people's sentiments in
multiple situations in their quotidian life. Social media data would be utilized for the entire …
multiple situations in their quotidian life. Social media data would be utilized for the entire …
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 …
Spatio-temporal prediction of the COVID-19 pandemic in US counties: modeling with a deep LSTM neural network
Prediction of complex epidemiological systems such as COVID-19 is challenging on many
grounds. Commonly used compartmental models struggle to handle an epidemiological …
grounds. Commonly used compartmental models struggle to handle an epidemiological …
Public perception of COVID-19 vaccines from the digital footprints left on Twitter: analyzing positive, neutral and negative sentiments of Twitterati
Purpose Twitter is gaining popularity as a microblogging and social networking service to
discuss various social issues. Coronavirus disease 2019 (COVID-19) has become a global …
discuss various social issues. Coronavirus disease 2019 (COVID-19) has become a global …
Machine learning on the COVID-19 pandemic, human mobility and air quality: A review
The ongoing COVID-19 global pandemic is touching every facet of human lives (eg, public
health, education, economy, transportation, and the environment). This novel pandemic and …
health, education, economy, transportation, and the environment). This novel pandemic and …
Spatial association of mobility and COVID-19 infection rate in the USA: A county-level study using mobile phone location data
AI Tokey - Journal of Transport & Health, 2021 - Elsevier
Introduction Human mobility has been a central issue in the discussion from the beginning of
COVID-19. While the body of literature on the relationship of COVID transmission and …
COVID-19. While the body of literature on the relationship of COVID transmission and …
COVID-19 pandemic severity, lockdown regimes, and people's mobility: Early evidence from 88 countries
This study empirically investigates the complex interplay between the severity of the
coronavirus pandemic, mobility changes in retail and recreation, transit stations, workplaces …
coronavirus pandemic, mobility changes in retail and recreation, transit stations, workplaces …
The impact of COVID-19 on tertiary educational institutions and students in Bangladesh
The COVID-19 forced to transform face-to-face mode of teaching to virtual in educational
institutions around the globe that not only impact institutional stakeholders, but also posed …
institutions around the globe that not only impact institutional stakeholders, but also posed …
Associations between COVID-19 pandemic, lockdown measures and human mobility: longitudinal evidence from 86 countries
Recognizing an urgent need to understand the dynamics of the pandemic's severity, this
longitudinal study is conducted to explore the evolution of complex relationships between …
longitudinal study is conducted to explore the evolution of complex relationships between …
Public perceptions of COVID-19 vaccines: Policy implications from US spatiotemporal sentiment analytics
There is a compelling and pressing need to better understand the temporal dynamics of
public sentiment towards COVID-19 vaccines in the US on a national and state-wise level for …
public sentiment towards COVID-19 vaccines in the US on a national and state-wise level for …