Alsaedi, Abdullah, Thomason, Stuart 
ORCID: 0009-0006-5814-4447, Grasso, Floriana ORCID: 0000-0001-8419-6554 and Brooker, Phillip ORCID: 0000-0003-1189-4647
(2023)
FB-SEC-1: A Social Emotion Cause Dataset.
In: 2023 11th International Conference on Affective Computing and Intelligent Interaction (ACII), 2023-9-10 - 2023-9-13, Cambridge, Mass..
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ACII_2023___FB_SEC_1__A_Social_Emotion_Cause_Dataset (10).pdf - Author Accepted Manuscript Download (539kB) | Preview |
Abstract
'Social emotion' in text mining refers to the emotion experienced by the reader exposed to a text, as opposed to the emotion conveyed from the author's perspective. Mining the cause of social emotion from text is a new challenging task with a wide range of applications, but its progress is hindered by the lack of annotated datasets. In this paper, we release the first English dataset for social emotion cause. The dataset is based on a well-established corpus of Facebook posts, and it was annotated through a crowdsourcing experiment. Together with the dataset, we provide two baseline models to be used as benchmarks for future studies.
| Item Type: | Conference or Workshop Item (Unspecified) |
|---|---|
| Uncontrolled Keywords: | 46 Information and Computing Sciences, 4608 Human-Centred Computing |
| Divisions: | Faculty of Humanities and Social Sciences > School of Law and Social Justice Faculty of Science and Engineering > School of Electrical Engineering, Electronics and Computer Science |
| Depositing User: | Symplectic Admin |
| Date Deposited: | 04 Oct 2023 09:21 |
| Last Modified: | 07 Dec 2024 23:45 |
| DOI: | 10.1109/acii59096.2023.10388112 |
| Related URLs: | |
| URI: | https://livrepository.liverpool.ac.uk/id/eprint/3173361 |
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