Detection of Human Emotion in Text

Abstract

The diagnosis of human emotions and the analysis of human emotions are a topic at the moment; the derivation of emotions and feelings from the written text remains a major challenge in this area of research. We do the job of an emotional annotation to find a category of mood states, perhaps the emotional intensity and the words or word expressing emotions in the text. An overview of emotional intelligence research with emphasis on emotional agents has been covering areas like emotional agents, modelling artificial agent’s environment, different forms of learning, emotional intelligence in decisions support processes, etc. Machine-learning approaches and knowledge-based approaches are the two main approaches for this task (Agrawal and An in 2012 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology (2012), [1]). The performance of these two approaches is quite good but machine-learning approaches always outperform the knowledge-based approaches in all area.