Social Network Analysis of COVID-19 Sentiments: Application of Artificial Intelligence.

ABSTRACT:

Background

The coronavirus disease (COVID-19) pandemic led to substantial public discussion. Understanding these discussions can help institutions, governments, and individuals navigate the pandemic.

Objective

The aim of this study is to analyze discussions on Twitter related to COVID-19 and to investigate the sentiments toward COVID-19.

Methods

This study applied machine learning methods in the field of artificial intelligence to analyze data collected from Twitter. Using tweets originating exclusively in the United States and written in English during the 1-month period from March 20 to April 19, 2020, the study examined COVID-19-related discussions. Social network and sentiment analyses were also conducted to determine the social network of dominant topics and whet

SUBMITTER: Hung M 

PROVIDER: S-EPMC7438102 | biostudies-literature | 2020 Aug

REPOSITORIES: biostudies-literature