Alsaedi, Abdullah 
ORCID: 0000-0003-3732-2452, Brooker, Phillip ORCID: 0000-0003-1189-4647, Grasso, Floriana ORCID: 0000-0001-8419-6554 and Thomason, Stuart
(2021)
A Survey of Social Emotion Prediction Methods.
In: 10th International Conference on Data Science, Technology and Applications, 2021-7-6 - 2021-7-8.
|
Text
DATA2021___A_survey_of_social_emotion_prediction_methods.pdf - Author Accepted Manuscript Download (99kB) | Preview |
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.
| Item Type: | Conference or Workshop Item (Unspecified) |
|---|---|
| Uncontrolled Keywords: | Social Emotion Prediction Methods, Social Emotion, Reader's Emotion |
| Divisions: | Faculty of Science and Engineering > School of Electrical Engineering, Electronics and Computer Science |
| Depositing User: | Symplectic Admin |
| Date Deposited: | 03 Aug 2021 07:29 |
| Last Modified: | 18 Jan 2023 21:34 |
| DOI: | 10.5220/0010546902230230 |
| Related URLs: | |
| URI: | https://livrepository.liverpool.ac.uk/id/eprint/3132149 |
Dimensions
Dimensions
