Due to Access of Internet and social media now a days, everyone, irrespective of age and area of concern is able to express his opinions regarding any entity, which can be a product, an article, a blog or just a simple tweet. These reviews thus plays a major role for marketers, customers or product analysts in creating opinions regarding a particular entity. This has led to creation of 2.5 quintillion bytes of data every day. Sentiment analysis or opinion mining is a branch of data mining which deals with the study of opinions and sentiments of the peoples which are expressed over internet. This paper presents a detailed study of approaches made so far for opinion mining, the comparison of data mining techniques and algorithm and their accuracy on various data sets. The paper also include various challenges that may be faced during the analysis of opinionated data.

Data mining, Knowledge discovery, Opinion Mining, Polarity check, Sentiment analysis

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