[HTML][HTML] Twitter discussions and emotions about the COVID-19 pandemic: Machine learning approach
Background It is important to measure the public response to the COVID-19 pandemic.
Twitter is an important data source for infodemiology studies involving public response …
Twitter is an important data source for infodemiology studies involving public response …
[HTML][HTML] Social network analysis of COVID-19 sentiments: Application of artificial intelligence
Background The coronavirus disease (COVID-19) pandemic led to substantial public
discussion. Understanding these discussions can help institutions, governments, and …
discussion. Understanding these discussions can help institutions, governments, and …
[HTML][HTML] Topics, trends, and sentiments of tweets about the COVID-19 pandemic: temporal infoveillance study
R Chandrasekaran, V Mehta, T Valkunde… - Journal of medical …, 2020 - jmir.org
Background With restrictions on movement and stay-at-home orders in place due to the
COVID-19 pandemic, social media platforms such as Twitter have become an outlet for …
COVID-19 pandemic, social media platforms such as Twitter have become an outlet for …
[HTML][HTML] Top concerns of tweeters during the COVID-19 pandemic: infoveillance study
Background The recent coronavirus disease (COVID-19) pandemic is taking a toll on the
world's health care infrastructure as well as the social, economic, and psychological well …
world's health care infrastructure as well as the social, economic, and psychological well …
[HTML][HTML] Tracking COVID-19 discourse on Twitter in North America: infodemiology study using topic modeling and aspect-based sentiment analysis
Background Social media is a rich source where we can learn about people's reactions to
social issues. As COVID-19 has impacted people's lives, it is essential to capture how …
social issues. As COVID-19 has impacted people's lives, it is essential to capture how …
[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 …
[HTML][HTML] Social media insights into US mental health during the COVID-19 pandemic: Longitudinal analysis of Twitter data
Background The COVID-19 pandemic led to unprecedented mitigation efforts that disrupted
the daily lives of millions. Beyond the general health repercussions of the pandemic itself …
the daily lives of millions. Beyond the general health repercussions of the pandemic itself …
[HTML][HTML] Psychological fear and anxiety caused by COVID-19: Insights from Twitter analytics
The novel corona-virus (2019-nCoV) or COVID-19 has globally infected 8,939,762 people
and 467,146 people have lost their lives while battling with this deadly virus (Coronavirus …
and 467,146 people have lost their lives while battling with this deadly virus (Coronavirus …
Whose tweets on COVID-19 gain the most attention: Celebrities, political, or scientific authorities?
M Kamiński, C Szymańska, JK Nowak - … , Behavior, and Social …, 2021 - liebertpub.com
Twitter has considerable capacity for health education and proves to be an efficient and
accessible communication tool in the coronavirus disease-19 (COVID-19) pandemic …
accessible communication tool in the coronavirus disease-19 (COVID-19) pandemic …
An “infodemic”: leveraging high-volume Twitter data to understand early public sentiment for the coronavirus disease 2019 outbreak
RJ Medford, SN Saleh, A Sumarsono… - Open forum …, 2020 - academic.oup.com
Background Twitter has been used to track trends and disseminate health information during
viral epidemics. On January 21, 2020, the Centers for Disease Control and Prevention …
viral epidemics. On January 21, 2020, the Centers for Disease Control and Prevention …