Abstract: Emotion detection from text is a relatively new classification task. This research paper tackles the problem of emotion recognition from text focusing on the implicit emotional statements – the descriptions of emotional events. Aim is to provide machines with the model for emotion reasoning allowing deeper understanding of causes of specific emotions. The ability to discern and understand human emotions is crucial for making interactive computer agents more human-like. This research paper focuses on prior approaches to this problem explaining their assumptions, employed sources of affective information, ways of event representation, and proposed classification algorithms.
Keywords: Emotion Recognition, Event Detection, Text Processing, Affective Interface.
Title: Approaches of Emotion Detection from Text
Author: Mr. Nilesh M. Shelke
International Journal of Computer Science and Information Technology Research
ISSN 2348-120X (online), ISSN 2348-1196 (print)
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