Reports from University of the District of Columbia Add New Data to Findings in COVID-19 (Covid-19 Vaccine Hesitancy: Text Mining, Sentiment Analysis and Machine Learning On Covid-19 Vaccination Twitter Dataset).

Vaccination brought a relief to the public; it also generated a lot of debates from anti-vaccine and pro-vaccine groups. Thus, this study examines 3 sentiment computation methods (Azure Machine Learning, VADER, and TextBlob) to analyze COVID-19 vaccine hesitancy. Keywords: Washington; State:District of Columbia; United States; North and Central America; Biological Products; COVID-19; Communicable Disease Control; Coronavirus; Cyborgs; Emerging Technologies; Environment and Public Health; Epidemiology; Health and Medicine; Immunization; Machine Learning; Public Health; Public Health Practice; RNA Viruses; Risk and Prevention; SARS-CoV-2; Severe Acute Respiratory Syndrome Coronavirus 2; Social Distancing; Social Media; Vaccination; Vaccines; Viral; Virology EN Washington State:District of Columbia United States North and Central America Biological Products COVID-19 Communicable Disease Control Coronavirus Cyborgs Emerging Technologies Environment and Public Health Epidemiology Health and Medicine Immunization Machine Learning Public Health Public Health Practice RNA Viruses Risk and Prevention SARS-CoV-2 Severe Acute Respiratory Syndrome Coronavirus 2 Social Distancing Social Media Vaccination Vaccines Viral Virology 2023 FEB 12 (NewsRx) -- By a News Reporter-Staff News Editor at NewsRx COVID-19 Weekly -- A new study on Coronavirus - COVID-19 is now available. [Extracted from the article]