Abstract
The boom of social media over the web has great impact on individual's and organization's decision making process about certain content. In today's world of business and marketing opinion mining plays a vital role in success of launching a new product and determining which versions of product is popular within customers. To extract the purposeful content from the social web, opinion mining performs an important role. Sentiment analysis is a current topic of research in this present era. This paper depicts a small effort explaining the process, applications and some challenges of opinion mining. In addition to the three basic opinions of sentiment detection i.e. positive neutral and negative this review paper suggests more precise sentiments like exciting, irrelevant and objectionable. Overall the study interprets the initial results of the undergoing master's thesis work of integrating the sentiment and spam detection in one system.
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