Sentimental Analysis of Twitter Comments on Covid-19

The rise of social media offers users to share their state of mind and opinions in all aspects of their life. Vast amount of textual content is available and needs techniques to use of information meaningfully by separating and examining them. Sentimental Analysis mines the opinion of human being for a viewpoint. In this Pandemic condition of Corona, whole world is sharing their opinions on the social media. This paper shows a analysis of sentiments to get the opinion of people if they are positivity during this situation or not. The paper is using the technique of polarity to know the opinion is positive, negative, or nonpartisan [1]. Three main keywords "COVID", "Corona virus" and "COVID-19" are used to check the polarity.