Analysing pathos in user-generated argumentative text
- Author
- Nataliia Evgrafova (UGent) , Veronique Hoste (UGent) and Els Lefever (UGent)
- Organization
- Project
- Abstract
- While persuasion has been extensively examined in the context of politicians’ speeches, there exists a notable gap in the understanding of the pathos role in user-generated argumentation. This paper presents an exploratory study into the pathos dimension of user-generated arguments and formulates ideas on how pathos could be incorporated in argument mining. Using existing sentiment and emotion detection tools, this research aims to obtain insights into the role of emotion in argumentative public discussion on controversial topics, explores the connection between sentiment and stance, and detects frequent emotion-related words for a given topic.
- Keywords
- argument mining, sentiment analysis, emotion detection, social media, political discourse
Downloads
-
2024.politicalnlp-1.5.pdf
- full text (Published version)
- |
- open access
- |
- |
- 534.56 KB
Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-01J06GHHRJKYBSR5H5T7CZ2961
- MLA
- Evgrafova, Nataliia, et al. “Analysing Pathos in User-Generated Argumentative Text.” Proceedings of the Second Workshop on Natural Language Processing for Political Sciences @ LREC-COLING 2024, edited by Haithem Afli et al., ELRA and ICCL, 2024, pp. 39–44.
- APA
- Evgrafova, N., Hoste, V., & Lefever, E. (2024). Analysing pathos in user-generated argumentative text. In H. Afli, H. Bouamor, C. Blasi Casagran, & S. Ghannay (Eds.), Proceedings of the Second Workshop on Natural Language Processing for Political Sciences @ LREC-COLING 2024 (pp. 39–44). ELRA and ICCL.
- Chicago author-date
- Evgrafova, Nataliia, Veronique Hoste, and Els Lefever. 2024. “Analysing Pathos in User-Generated Argumentative Text.” In Proceedings of the Second Workshop on Natural Language Processing for Political Sciences @ LREC-COLING 2024, edited by Haithem Afli, Houda Bouamor, Cristina Blasi Casagran, and Sahar Ghannay, 39–44. ELRA and ICCL.
- Chicago author-date (all authors)
- Evgrafova, Nataliia, Veronique Hoste, and Els Lefever. 2024. “Analysing Pathos in User-Generated Argumentative Text.” In Proceedings of the Second Workshop on Natural Language Processing for Political Sciences @ LREC-COLING 2024, ed by. Haithem Afli, Houda Bouamor, Cristina Blasi Casagran, and Sahar Ghannay, 39–44. ELRA and ICCL.
- Vancouver
- 1.Evgrafova N, Hoste V, Lefever E. Analysing pathos in user-generated argumentative text. In: Afli H, Bouamor H, Blasi Casagran C, Ghannay S, editors. Proceedings of the Second Workshop on Natural Language Processing for Political Sciences @ LREC-COLING 2024. ELRA and ICCL; 2024. p. 39–44.
- IEEE
- [1]N. Evgrafova, V. Hoste, and E. Lefever, “Analysing pathos in user-generated argumentative text,” in Proceedings of the Second Workshop on Natural Language Processing for Political Sciences @ LREC-COLING 2024, Turin, Italy, 2024, pp. 39–44.
@inproceedings{01J06GHHRJKYBSR5H5T7CZ2961,
abstract = {{While persuasion has been extensively examined in the context of politicians’ speeches, there exists a notable gap in the understanding of the pathos role in user-generated argumentation. This paper presents an exploratory study into the pathos dimension of user-generated arguments and formulates ideas on how pathos could be incorporated in argument mining. Using existing sentiment and emotion detection tools, this research aims to obtain insights into the role of emotion in argumentative public discussion on controversial topics, explores the connection between sentiment and stance, and detects frequent emotion-related words for a given topic.}},
author = {{Evgrafova, Nataliia and Hoste, Veronique and Lefever, Els}},
booktitle = {{Proceedings of the Second Workshop on Natural Language Processing for Political Sciences @ LREC-COLING 2024}},
editor = {{Afli, Haithem and Bouamor, Houda and Blasi Casagran, Cristina and Ghannay, Sahar}},
isbn = {{9782493814265}},
issn = {{2951-2093}},
keywords = {{argument mining,sentiment analysis,emotion detection,social media,political discourse}},
language = {{eng}},
location = {{Turin, Italy}},
pages = {{39--44}},
publisher = {{ELRA and ICCL}},
title = {{Analysing pathos in user-generated argumentative text}},
url = {{https://aclanthology.org/2024.politicalnlp-1.5/}},
year = {{2024}},
}