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.

小说情感轨迹的计算分析很少考虑不同角色之间的情感变化，而我们的研究使用角色对话来区分叙述和不同角色的情感轨迹，并发现小说中的情感轨迹通过叙述和对话表达的不同情感更能准确地捕捉故事的共性或差异。