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Social media has revolutionized human communication and styles ofinteraction. Due to its easiness and effective medium, people share andexchange information, carry out discussion on various events, and express theiropinions. For effective policy making and understanding the response of acommunity 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, afamous politician may have more influence than a common person. Theseinfluential users belong to specific communities. The main object of thisresearch is to know the sentiments of a specific community on various events.For detecting the event based sentiments of a community we propose a genericframework. Our framework identifies the users of a specific community ontwitter. After identifying the users of a community, we fetch their tweets andidentify tweets belonging to specific events. The event based tweets arepre-processed. Pre-processed tweets are then analyzed for detecting sentimentsof a community for specific events. Qualitative and quantitative evaluationconfirms the effectiveness and usefulness of our proposed framework.

A Framework for Detecting Event related Sentiments of a Community