@inproceedings{vishnubhotla-etal-2024-emotion,
title = "The Emotion Dynamics of Literary Novels",
author = "Vishnubhotla, Krishnapriya and
Hammond, Adam and
Hirst, Graeme and
Mohammad, Saif",
editor = "Ku, Lun-Wei and
Martins, Andre and
Srikumar, Vivek",
booktitle = "Findings of the Association for Computational Linguistics ACL 2024",
month = aug,
year = "2024",
address = "Bangkok, Thailand and virtual meeting",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2024.findings-acl.150",
pages = "2557--2574",
abstract = "Stories are rich in the emotions they exhibit in their narratives and evoke in the readers. The emotional journeys of the various characters within a story are central to their appeal. Computational analysis of the emotions of novels, however, has rarely examined the variation in the emotional trajectories of the different characters within them, instead considering the entire novel to represent a single story arc. In this work, we use character dialogue to distinguish between the emotion arcs of the narration and the various characters. We analyze the emotion arcs of the various characters in a dataset of English literary novels using the framework of Utterance Emotion Dynamics. Our findings show that the narration and the dialogue largely express disparate emotions through the course of a novel, and that the commonalities or differences in the emotional arcs of stories are more accurately captured by those associated with individual characters.",
}
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<abstract>Stories are rich in the emotions they exhibit in their narratives and evoke in the readers. The emotional journeys of the various characters within a story are central to their appeal. Computational analysis of the emotions of novels, however, has rarely examined the variation in the emotional trajectories of the different characters within them, instead considering the entire novel to represent a single story arc. In this work, we use character dialogue to distinguish between the emotion arcs of the narration and the various characters. We analyze the emotion arcs of the various characters in a dataset of English literary novels using the framework of Utterance Emotion Dynamics. Our findings show that the narration and the dialogue largely express disparate emotions through the course of a novel, and that the commonalities or differences in the emotional arcs of stories are more accurately captured by those associated with individual characters.</abstract>
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%0 Conference Proceedings
%T The Emotion Dynamics of Literary Novels
%A Vishnubhotla, Krishnapriya
%A Hammond, Adam
%A Hirst, Graeme
%A Mohammad, Saif
%Y Ku, Lun-Wei
%Y Martins, Andre
%Y Srikumar, Vivek
%S Findings of the Association for Computational Linguistics ACL 2024
%D 2024
%8 August
%I Association for Computational Linguistics
%C Bangkok, Thailand and virtual meeting
%F vishnubhotla-etal-2024-emotion
%X Stories are rich in the emotions they exhibit in their narratives and evoke in the readers. The emotional journeys of the various characters within a story are central to their appeal. Computational analysis of the emotions of novels, however, has rarely examined the variation in the emotional trajectories of the different characters within them, instead considering the entire novel to represent a single story arc. In this work, we use character dialogue to distinguish between the emotion arcs of the narration and the various characters. We analyze the emotion arcs of the various characters in a dataset of English literary novels using the framework of Utterance Emotion Dynamics. Our findings show that the narration and the dialogue largely express disparate emotions through the course of a novel, and that the commonalities or differences in the emotional arcs of stories are more accurately captured by those associated with individual characters.
%U https://aclanthology.org/2024.findings-acl.150
%P 2557-2574
Markdown (Informal)
[The Emotion Dynamics of Literary Novels](https://aclanthology.org/2024.findings-acl.150) (Vishnubhotla et al., Findings 2024)
ACL
- Krishnapriya Vishnubhotla, Adam Hammond, Graeme Hirst, and Saif Mohammad. 2024. The Emotion Dynamics of Literary Novels. In Findings of the Association for Computational Linguistics ACL 2024, pages 2557–2574, Bangkok, Thailand and virtual meeting. Association for Computational Linguistics.