Cargando…
Emotion dynamics in movie dialogues
Emotion dynamics is a framework for measuring how an individual’s emotions change over time. It is a powerful tool for understanding how we behave and interact with the world. In this paper, we introduce a framework to track emotion dynamics through one’s utterances. Specifically we introduce a numb...
Autores principales: | , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8452047/ https://www.ncbi.nlm.nih.gov/pubmed/34543312 http://dx.doi.org/10.1371/journal.pone.0256153 |
_version_ | 1784569985088094208 |
---|---|
author | Hipson, Will E. Mohammad, Saif M. |
author_facet | Hipson, Will E. Mohammad, Saif M. |
author_sort | Hipson, Will E. |
collection | PubMed |
description | Emotion dynamics is a framework for measuring how an individual’s emotions change over time. It is a powerful tool for understanding how we behave and interact with the world. In this paper, we introduce a framework to track emotion dynamics through one’s utterances. Specifically we introduce a number of utterance emotion dynamics (UED) metrics inspired by work in Psychology. We use this approach to trace emotional arcs of movie characters. We analyze thousands of such character arcs to test hypotheses that inform our broader understanding of stories. Notably, we show that there is a tendency for characters to use increasingly more negative words and become increasingly emotionally discordant with each other until about 90% of the narrative length. UED also has applications in behavior studies, social sciences, and public health. |
format | Online Article Text |
id | pubmed-8452047 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-84520472021-09-21 Emotion dynamics in movie dialogues Hipson, Will E. Mohammad, Saif M. PLoS One Research Article Emotion dynamics is a framework for measuring how an individual’s emotions change over time. It is a powerful tool for understanding how we behave and interact with the world. In this paper, we introduce a framework to track emotion dynamics through one’s utterances. Specifically we introduce a number of utterance emotion dynamics (UED) metrics inspired by work in Psychology. We use this approach to trace emotional arcs of movie characters. We analyze thousands of such character arcs to test hypotheses that inform our broader understanding of stories. Notably, we show that there is a tendency for characters to use increasingly more negative words and become increasingly emotionally discordant with each other until about 90% of the narrative length. UED also has applications in behavior studies, social sciences, and public health. Public Library of Science 2021-09-20 /pmc/articles/PMC8452047/ /pubmed/34543312 http://dx.doi.org/10.1371/journal.pone.0256153 Text en © 2021 Hipson, Mohammad https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Hipson, Will E. Mohammad, Saif M. Emotion dynamics in movie dialogues |
title | Emotion dynamics in movie dialogues |
title_full | Emotion dynamics in movie dialogues |
title_fullStr | Emotion dynamics in movie dialogues |
title_full_unstemmed | Emotion dynamics in movie dialogues |
title_short | Emotion dynamics in movie dialogues |
title_sort | emotion dynamics in movie dialogues |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8452047/ https://www.ncbi.nlm.nih.gov/pubmed/34543312 http://dx.doi.org/10.1371/journal.pone.0256153 |
work_keys_str_mv | AT hipsonwille emotiondynamicsinmoviedialogues AT mohammadsaifm emotiondynamicsinmoviedialogues |