World is changing swiftly due to the advancements of the modern era. Every industry uses the Web, and having access to it has become a bare minimum for everyone. Because of the social network industry's phenomenal growth, people are using social networking sites to share their perspectives on current events. Having observed the competition, the product and service feedback and its analysis has become essential. Sentiment analysis commonly referred to as opinion mining, is a typical activity for starting conversations that seeks to uncover the feelings that underlie opinions in texts on a number of subjects. Subjects, such as cinema, consumer goods, and societal issues have been the recent area of study among the researchers to analyze opinion of general public. Twitter has grown in popularity over the past few decades. Today, it is used by millions of people to communicate details about their daily lives and feelings. These data can be processed and analysed automatically by applications using techniques like sentiment analysis and topic modelling. Keeping the popularity of twitter and the sentiments that are shared on this micro-blog in mind, the present study examines the results of various sentiment analyses performed on Twitter data.