用NLP分析大屠杀幸存者自述中的信仰变化轨迹
Computational Analysis of Character Development in Holocaust Testimonies
- 通过文本分析提取个体在叙述中信仰与实践的演变路径
- 发现多数人信仰态度稳定，但宗教实践呈波动模式
- 为历史社会研究提供可量化的叙事结构新视角
本文提出一种计算方法，用于分析叙事时间线上主人公的内在与外在变化及其相互作用。以大屠杀幸存者口述史为案例，每篇均为第一人称叙述，聚焦其宗教历程，考察信仰与实践态度随时间的演变。对所得轨迹进行聚类，识别出数据中的常见序列。研究发现：在信仰层面，多数人呈现持续稳定的倾向；在实践层面，多数呈现周期性波动特征。该结果为历史学与社会学研究提供了有价值的叙事素材。本工作展示了自然语言处理技术在分析叙事中人物发展主题轨迹方面的潜力。
原文摘要 · Abstract (English)
This work presents a computational approach to analyze character development along the narrative timeline. The analysis characterizes the inner and outer changes the protagonist undergoes within a narrative, and the interplay between them. We consider transcripts of Holocaust survivor testimonies as a test case, each telling the story of an individual in first-person terms. We focus on the survivor's religious trajectory, examining the evolution of their disposition toward religious belief and practice along the testimony. Clustering the resulting trajectories in the dataset, we identify common sequences in the data. Our findings highlight multiple common structures of religiosity across the narratives: in terms of belief, most present a constant disposition, while for practice, most present an oscillating structure, serving as valuable material for historical and sociological research. This work demonstrates the potential of natural language processing techniques for analyzing character evolution through thematic trajectories in narratives.
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