DSA Model for Review Analysis

Computer engineering

In todays life use of social media like Facebook, twitter etc. get increases day-by-day. In these type of social media sentiment analysis plays important role to analyze the public review and opinion related to the past. In this survey paper we study the dual sentiment analysis (DSA) method which considers two sides of one review. Sentiment analysis is also called as opinion mining. Focuses on the DSA method, which includes dual training and dual prediction to make a use of original and reverse review sample in pair for training a statistical classifier and make prediction. Extending our Dual sentiment analysis from polarity (positive, negative) to 3 class(positive, negation, neutral )sentiment classification, finally developing the corpus based method for constructing a pseudo-antonym dictionary.

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