FB-SEC-1: A Social Emotion Cause Dataset



Alsaedi, Abdullah, Thomason, Stuart, 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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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: Behavioral and Social Science
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: 15 Mar 2024 01:33
DOI: 10.1109/acii59096.2023.10388112
Related URLs:
URI: https://livrepository.liverpool.ac.uk/id/eprint/3173361