Abstract
With the rapid growth of web technology, there is a huge volume of data present in the web for internet users. It also become the place for online learning and exchange ideas. The information gathering has become more important to find out what other people think about any product, service or organization. This gives an enormous growth and availability of rich-opinion data in various social media such as on-line review site, twitter, face book and personal blogs and so on. The sudden eruption of activity in the area of opinion mining and sentiment analysis, which yields to computational treatment on various opinion and sentiment in text. This survey focus on various techniques and methods for classifying the opinion from social media datasets and its future aspects.
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