Applications of artificial intelligence in battling against covid-19: A literature review
M Tayarani - Chaos, Solitons and Fractals, 2020 - researchprofiles.herts.ac.uk
Colloquially known as coronavirus, the Severe Acute Respiratory Syndrome CoronaVirus 2
(SARS-CoV-2), that causes CoronaVirus Disease 2019 (COVID-19), has become a matter of …
(SARS-CoV-2), that causes CoronaVirus Disease 2019 (COVID-19), has become a matter of …
[HTML][HTML] Social media mining under the COVID-19 context: Progress, challenges, and opportunities
Social media platforms allow users worldwide to create and share information, forging vast
sensing networks that allow information on certain topics to be collected, stored, mined, and …
sensing networks that allow information on certain topics to be collected, stored, mined, and …
[HTML][HTML] A topic modeling comparison between lda, nmf, top2vec, and bertopic to demystify twitter posts
The richness of social media data has opened a new avenue for social science research to
gain insights into human behaviors and experiences. In particular, emerging data-driven …
gain insights into human behaviors and experiences. In particular, emerging data-driven …
Public discourse and sentiment during the COVID 19 pandemic: Using Latent Dirichlet Allocation for topic modeling on Twitter
The study aims to understand Twitter users' discourse and psychological reactions to COVID-
19. We use machine learning techniques to analyze about 1.9 million Tweets (written in …
19. We use machine learning techniques to analyze about 1.9 million Tweets (written in …
Deep Learning‐Based Methods for Sentiment Analysis on Nepali COVID‐19‐Related Tweets
COVID‐19 has claimed several human lives to this date. People are dying not only because
of physical infection of the virus but also because of mental illness, which is linked to …
of physical infection of the virus but also because of mental illness, which is linked to …
[PDF][PDF] Sentiment analysis on twitter tweets about COVID-19 vaccines using NLP and supervised KNN classification algorithm
The pandemic has taken the world by storm. Almost the entire world went into lockdown to
save the people from the deadly COVID-19. Scientists around the around have come up with …
save the people from the deadly COVID-19. Scientists around the around have come up with …
COVID-19 vaccination awareness and aftermath: public sentiment analysis on Twitter data and vaccinated population prediction in the USA
NS Sattar, S Arifuzzaman - Applied Sciences, 2021 - mdpi.com
Social media, such as Twitter, is a source of exchanging information and opinion on global
issues such as COVID-19 pandemic. In this study, we work with a database of around 1.2 …
issues such as COVID-19 pandemic. In this study, we work with a database of around 1.2 …
Machine learning in healthcare communication
S Siddique, JCL Chow - Encyclopedia, 2021 - mdpi.com
Definition Machine learning (ML) is a study of computer algorithms for automation through
experience. ML is a subset of artificial intelligence (AI) that develops computer systems …
experience. ML is a subset of artificial intelligence (AI) that develops computer systems …
Modern senicide in the face of a pandemic: An examination of public discourse and sentiment about older adults and COVID-19 using machine learning
Objectives This study examined public discourse and sentiment regarding older adults and
COVID-19 on social media and assessed the extent of ageism in public discourse. Methods …
COVID-19 on social media and assessed the extent of ageism in public discourse. Methods …
Willingness of the Jordanian population to receive a COVID-19 booster dose: a cross-sectional study
SARS-CoV-2 (COVID-19) vaccines are critical for containing serious infections. However, as
COVID-19 evolves toward more transmissible varieties and serum antibody levels in …
COVID-19 evolves toward more transmissible varieties and serum antibody levels in …