Topic detection and sentiment analysis in Twitter content related to COVID-19 from Brazil and the USA

The psychological impact of quarantine and how to reduce it: rapid review of the evidence

(2020) Samantha K Brooks et al.   LANCET

Top Concerns of Tweeters During the COVID-19 Pandemic: Infoveillance Study

(2020) Alaa Abd-Alrazaq et al.   JOURNAL OF MEDICAL INTERNET RESEARCH

World leaders’ usage of Twitter in response to the COVID-19 pandemic: a content analysis

(2020) Sohaib R Rufai et al.   JOURNAL OF PUBLIC HEALTH

Mild or Moderate Covid-19

(2020) Rajesh T. Gandhi et al.   NEW ENGLAND JOURNAL OF MEDICINE

A review of approaches for topic detection in Twitter

(2020) Zeynab Mottaghinia et al.   JOURNAL OF EXPERIMENTAL & THEORETICAL ARTIFICIAL INTELLIGENCE

Encouraging results from phase 1/2 COVID-19 vaccine trials

(2020) Naor Bar-Zeev et al.   LANCET

Sentiment Analysis of COVID-19 tweets by Deep Learning Classifiers—A study to show how popularity is affecting accuracy in social media

(2020) Koyel Chakraborty et al.   APPLIED SOFT COMPUTING

Short Text Topic Modeling Techniques, Applications, and Performance: A Survey

(2020) Jipeng Qiang et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Identifying the public's concerns and the Centers for Disease Control and Prevention's reactions during a health crisis: An analysis of a Zika live Twitter chat

(2016) Elizabeth M. Glowacki et al.   AMERICAN JOURNAL OF INFECTION CONTROL