People's sentiments are the mirror of their cognition, and these sentiments play a very significant role in predicting and shaping one's behaviour. At present the entire world is fighting with this pandemic situation due to the nCOVID-19 outbreak and people are experiencing a variety of sentiments. This research aims to explore various sentiments that people are experiencing during this epidemic. To achieve this objective sentiment analysis was conducted on 30,000 random Twitter comments using R software. Data mining of data was done using three hashtags: #Coronavirus, #Covid19 and #Covid19India. After the analysis, it was found that the nature of people's sentiments about nCOVID-19 is majorly positive. This study also elicits other noticeable patterns of netizen's expression through their comments while combating nCOVID-19. The present research provides insight into the type of sentiments which people are undergoing across the world during this pandemic situation and based on the obtained data, risk prediction can be done, and various awareness programmes can be designed to overcome the present issue which is prevailing worldwide.