Date of Publication :22nd March 2017

Abstract: Emotion analysis in text is a trending field of research that is closely related to Sentiment analysis. With the increase of Internet connectivity, all the human interactions has moved to the social media platforms hence a lot of data can be tapped for research purposes. Emotion analysis is carried to study the writer’s state of mind. In this paper social media data is classified into five emotion categories (happy, sad, anger, fear and surprise) using supervised machine learning techniques(Naïve Bayes and Support Vector Machine).

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