Implementation of automated sentiment discovery system

Today´s world completely depends on computer technology´s advancement to get the best of whatever they want or choose. Because of internet, sharing and exchanging information is really easiest task than ever before. And same technology is providing us ample amount of data, information while selecting best of services, best of products available as well as best of individual based on quality features. Even due to various media of social information input like blogs, forums, communities, twits, etc. it is far superior to give feedback on any organization, services provided, product qualities, individual skills very easily and rapidly. Additionally like individual internet user, all kind of organization experts, management teams, analysts are focusing on such data and its analysis for their business growths and trends. In the same direction, this research paper focuses on development of automated opinion mining system to help, analyze, evaluate user´s reviews, and to provide on click solution of reviews mined for business decision making process. This paper explores an idea of extracting real time dataset through provided Graphical User Interface (GUI). On this extracted dataset, Part of Speech tagging is applied to get implicit as well as explicit features of the product. Then the orientation of opinions is identified. After this, the reviews are classified according to their orientation. The summarization unit would then generate opinion mining result in visualized form for further decision making process. In this system, dictionary based and corpus based approaches are combined together. Also it provides more accuracy in obtained results to make this system trustworthy and efficient.