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电影对话中的情绪动态。

Emotion dynamics in movie dialogues.

机构信息

Carleton University, Ottawa, ON, Canada.

National Research Council Canada, Ottawa, ON, Canada.

出版信息

PLoS One. 2021 Sep 20;16(9):e0256153. doi: 10.1371/journal.pone.0256153. eCollection 2021.

DOI:10.1371/journal.pone.0256153
PMID:34543312
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8452047/
Abstract

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.

摘要

情绪动态是一种衡量个体情绪随时间变化的框架。它是理解我们如何行为和与世界互动的有力工具。在本文中,我们介绍了一种通过言语跟踪情绪动态的框架。具体来说,我们引入了一些受心理学启发的言语情绪动态(UED)指标。我们使用这种方法来追踪电影角色的情感轨迹。我们分析了数千个这样的角色弧线,以检验假设,从而更深入地了解故事。值得注意的是,我们发现角色有使用越来越多负面词汇的趋势,并变得越来越不和谐,直到叙事长度达到 90%左右。UED 在行为研究、社会科学和公共卫生领域也有应用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ebdf/8452047/2d639ee3a6ff/pone.0256153.g007.jpg
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A multivariate statistical model for emotion dynamics.用于情绪动力学的多元统计模型。
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Emotion dynamics.情绪动态。
情绪感知中的序列依赖反映了自然情绪统计中的自相关性。
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