Post-COVID Psychological Impact on Social Media Users: A Study on Twitter Users

Abstract

In China, healthcare specialists discovered a new and unknown virus around the end of December 2019. Later, it was recognized as Coronavirus; the virus rapidly spread over the globe. Lockdowns, and social isolation were the primary measures taken by every nation's government to control of the virus. In February 2022, the World Health Organization (WHO) announced that fast immunization reduces Coronavirus infection rates by 21 percent. After the COVID-19 epidemic, the researchers anticipated that another pandemic, mental health, would spread over the world. In fact, the psychological influence on the general population during and after the COVID-19 outbreak has grown vulnerable. The purpose of this work was to do a sentiment analysis on Twitter data using the Python programming language in order to determine the psychological influence of Twitter users in the post-COVID era.

Keywords

• covid-19
• post-covid
• mental health
• psychological impact
• sentiment analysis
• natural language processing
• automated text analysis
• nlp
• social media analysis
• data mining