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The Emotion Dynamics of Literary Novels

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arxiv 2403.02474 v1 pith:ZSXE4EBD submitted 2024-03-04 cs.CL

classification cs.CL
keywords charactersemotionarcsemotionalemotionsnovelsvariousdialogue
verification ladder T0 review T1 audit T2 compute T3 formal

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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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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Once More, With Feeling: Measuring Emotion of Acting Performances in Contemporary American Film

    cs.CL 2024-11 conditional novelty 6.0 of 10

    A computational pipeline aligns movie audio with script text and uses speech emotion models to show that acted emotions in American film track narrative structure, release year, genre, and dialogue function.

  2. Narrative Information Theory

    cs.MM 2024-11 conditional novelty 3.0 of 10

    Defines entropy and Jensen-Shannon divergence based narrative metrics and applies them to emotion dynamics in TV shows, arguing they capture complexity and pivots.

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