Emotion Detection from text: A Survey

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Abstract

This survey describes recent works in the field of Emotion Detection from text, being a part of the broader area of Affective Computing. 

This survey has been inspired on the well-known fact that, despite there is a lot of work on emotional detection systems, a lot of work is expected to be done yet. 

The increment of these systems is due to the large amount of emotional data available in Social Web. 

Detecting emotions from text have attracted the attention of many researchers in computational linguistics because it has a wide range of applications, such as suicide prevention or measuring well-being of a community. 

This paper mainly collects works based on lexical and machine learning approaches and these works are classificated in accordance with the emotional model and the approach used. 

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https://aclanthology.org/W14-6905/

https://aclanthology.org/W14-6905.pdf

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