A Survey of Social Emotion Prediction Methods

Abdullah Alsaedi, Phillip Brooker, Floriana Grasso, Stuart Thomason

2021

Abstract

Emotions are an important factor that affects our communication. Considerable research has been done to detect and classify emotion in text. However, most deal with emotion from the writer’s perspective. Social emotion is the emotion of the reader when exposed to the text. With the increased use of social media, many works are performed for social emotion prediction. In this paper, we attempt to provide a survey of social emotion prediction methods. To the best of our knowledge, this is the first work to survey the literature of social emotion, review methods, and used techniques, compare the methods, and highlight their limitations.

Paper Citation

in Harvard Style

Alsaedi A., Brooker P., Grasso F. and Thomason S. (2021). A Survey of Social Emotion Prediction Methods. In Proceedings of the 10th International Conference on Data Science, Technology and Applications - Volume 1: DATA, ISBN 978-989-758-521-0, pages 223-230. DOI: 10.5220/0010546902230230

in Bibtex Style

@conference{data21,
author={Abdullah Alsaedi and Phillip Brooker and Floriana Grasso and Stuart Thomason},
title={A Survey of Social Emotion Prediction Methods},
booktitle={Proceedings of the 10th International Conference on Data Science, Technology and Applications - Volume 1: DATA,},
year={2021},
pages={223-230},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010546902230230},
isbn={978-989-758-521-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 10th International Conference on Data Science, Technology and Applications - Volume 1: DATA,
TI - A Survey of Social Emotion Prediction Methods
SN - 978-989-758-521-0
AU - Alsaedi A.
AU - Brooker P.
AU - Grasso F.
AU - Thomason S.
PY - 2021
SP - 223
EP - 230
DO - 10.5220/0010546902230230