Date of Publication :18th May 2017

Abstract: Emotion can be expressed by different forms such as written text, speech or video. With the growth of social networking, textual data has proven to be the main tool of the interaction. Emotion Detection in text documents is essentially a content-based classification problem which has evolved from the domains like Natural Language Processing as well as Machine Learning. Computational analysis of emotions has been considered a challenging and interesting task. However, there are few prior works who work with textual input to analyse these emotions. This paper explains different techniques of emotion detection, challenges faced and various applications of emotion detection. Also, it presents the implementation of the system.

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