In this project, we analyze a series of tweets concerning the COVID-19 epidemic to see how individuals are use Twitter to communicate their ideas and emotions at this challenging time. In order to analyze the content of the tweets, we performed a subject demonstration, opinion research, and emotion analysis using standard language handling algorithms such as LDA. Our study takes a comprehensive look at the ways in which users of Twitter are expressing their thoughts and sentiments in reaction to the epidemic.