  Social media has revolutionized human communication and styles of
interaction. Due to its easiness and effective medium, people share and
exchange information, carry out discussion on various events, and express their
opinions. For effective policy making and understanding the response of a
community on different events, we need to monitor and analyze the social media.
In social media, there are some users who are more influential, for example, a
famous politician may have more influence than a common person. These
influential users belong to specific communities. The main object of this
research is to know the sentiments of a specific community on various events.
For detecting the event based sentiments of a community we propose a generic
framework. Our framework identifies the users of a specific community on
twitter. After identifying the users of a community, we fetch their tweets and
identify tweets belonging to specific events. The event based tweets are
pre-processed. Pre-processed tweets are then analyzed for detecting sentiments
of a community for specific events. Qualitative and quantitative evaluation
confirms the effectiveness and usefulness of our proposed framework.
