A Review On Sentimental Analysis Process and its Techniques
Sentimental analysis of social networking site and e-commerce sites pays more attention of researchers and academics in these days. It becomes a very hot topic to analyzed product review data, analyzed sentiments of users towards any organization, product, celebrity, any political party. It also called opinion mining whose main aim is to tackle the problem of sentiment polarity categorization. In the recent years social networking sites has become a very popular application where users are come and share their views, opinions, communicate with each other by transferring short messages, share photographs text messages, audios and videos etc., So it is a big source of text data which must be analyzed. In this paper we study all the techniques of sentimental analysis and elaborate the detailed process of analysis. We also review the various machine learning methods which take a sample data from Amazon, Facebook, twitter etc. and apply best suitable techniques to analyzed all data after that which we get the output we used that for the decision making process.
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