Pathology

Happiness

Disease

Coronavirus disease 2019 (COVID-19)

Infectious disease (medical specialty)

Pandemic

Outbreak

Psychiatry

Political science

Artificial intelligence

Psychology

Virology

2019-20 coronavirus outbreak

Gratitude

Computer science

Social media

Anxiety

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)

Sentiment analysis

Medicine

Social psychology

International Journal on Semantic Web and Information Systems

People are afraid about COVID-19 and are actively talking about it on social media platforms such as Twitter. People are showing their emotions openly in their tweets on Twitter. It's very important to perform sentiment analysis on these tweets for finding COVID-19's impact on people's lives. Natural language processing, textual processing, computational linguists, and biometrics are applied to perform sentiment analysis to identify and extract the emotions. In this work, sentiment analysis is carried out on a large Twitter dataset of English tweets. Ten emotional themes are investigated. Experimental results show that COVID-19 has spread fear/anxiety, gratitude, happiness and hope, and other mixed emotions among people for different reasons. Specifically, it is observed that positive news from top officials like Trump of chloroquine as cure to COVID-19 has suddenly lowered fear in sentiment, and happiness, gratitude, and hope started to rise. But, once FDA said, chloroquine is not effective cure, fear again started to rise.

Coronavirus Pandemic (COVID-19)