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Social networks usually involve rich collections of objects, which are jointly linked into complex relational networks. Analyzing these networks for information has gained significant attention in recent years, largely due to the success of online social networking and media-sharing sites like FaceBook, and the consequent availability of a wealth of social network data. Recent past has seen an enormous increase in the research of different problems and methods for social data analysis. Since there is a huge gap between research community and the business groups, the potential business impact of this research is still largely unexplored. In this paper we discuss a well known business problem of emotion analysis of online posts and suggest a new framework named `Perisikan' that could address the problem in a more efficient way. Also we discuss a case study that is built based on this framework which provides real time information.