The 2019 novel coronavirus disease, shortly named COVID-19, has dramatically changed people’s daily life and a new type of life has been forced on people, called new normal life. While the new normal life helped get COVID-19 growth under control, the side effects are still preserved in the societies, such as stress and fear. The existence of anxiety for an extended period results in various illnesses such as trigeminal neuralgia, and if the period gets much longer, it will increase the suicide rate. Once the number of COVID-19 cases spikes in a country, the government imposes strict policies such as complete luck down and quarantine orders, which helps control the disease’s spread significantly. However, it substantially increases people’s stress and fear. Hence, understanding the people’s emotional response to pandemics over time is essential and needs to be considered for analyzing the possibility of increasing restrictions and being alarmed once easing restrictions is required. Artificial Intelligence can help countries analyze people’s emotional responses in different states and recommend governments on the appropriate level of measurement control rules to prevent disease spread and keep people well psychologically. This paper aims to study people’s emotional responses to the COVID-19 pandemic by performing a sentiment analysis on social media. Twitter, which is a popular social media, is considered in this research to perform analysis. The results show a significant drop in people’s positiveness during 2020, in which COVID-19 spiked, compared to 2019.