As social media platforms become the go-to for knee-jerk reactions on events by the current populous, it has become extremely important for event managers, celebrities, and organizations to constantly monitor their perceived social image online. This becomes especially difficult during key periods of heightened activity, like events, announcements, etc. As the rate at which the tweets are posted is much higher than what a human can read or comprehend. In this paper, we exploit existing sentiment analysis techniques to develop a real-time sentiment analysis system that provides us with real-time sentiments of the audience on the micro-blogging site, Twitter, toward an event, organization, or person. This system serves to act as a feedback mechanism helping the users to understand, the perceived image of the event/organization. This feedback, if provided in a timely manner, can be used to improve the situation at hand or act as a positive reinforcement for the team. In today’s world, neglecting social media can prove detrimental to the success of an event or organization. We analyze two different events from two separate domains to understand and demonstrate the benefits of our system.