Dual Sentiment Classification with Sarcasm Identification

Whenever a person wants to buy some new thing, watch a movie or go to an unknown place, he/she searches for online reviews. People who have watched that particular movie or have been to that place in the past post these reviews, which leads to huge volumes of user-oriented textual data which is rendered useless if it is not thoroughly analyzed and put into some techniques as input and derive some application-specific and meaningful results. Hence, in this paper, we propose a sentiment classification model named as Dual Sentiment Classification (DSC) with Sarcasm Identification. This model will first perform sarcasm identification on the user reviews and classify them as sarcastic and non-sarcastic and then sentiment classification will be performed using dual sentiment analysis concept, to classify the reviews as positive or negative.