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计算裂:分析早期现代自然哲学背景
Andrea Sangiacomo1, Raluca Tanasescu2
1University of Groningen/Erasmus University Rotterdam.
Science in context
|June 26, 2025
概括
本研究介绍了一种计算方法,利用语言特征和元数据分析历史哲学文本. 它量化地对作品和作者进行了分组,帮助历史学家理解上下文,并确定关键人物.
科学领域:
- 在历史哲学中的计算方法.
- 数字人文学科 数字人文学科
- 历史哲学 历史哲学
背景情况:
- 目前对早期现代哲学的历史分析依赖于主观的定性评估.
- 缺乏量化方法来定义和描述历史背景.
- 了解作者和文本背景对于历史解释至关重要.
研究的目的:
- 介绍一种用于解析历史哲学作品的大型群体的计算方法.
- 根据语言特征和元数据,将文本和作者分组为子语境.
- 量化描述这些群体,并确定区分语言特征.
主要方法:
- 使用语言特征分析分析大量作品.
- 利用相关元数据中的初步信息.
- 开发一种分类方法,以创建文本和作者的定量分组.
主要成果:
- 该方法成功地从语料库中创建了广泛的组 (子语境).
- 确定了每个群体的独特语言特征.
- 在每个组中识别代表性作品和作者的潜力.
结论:
- 这种计算方法为传统的定性历史评估提供了定量补充.
- 它增强了定义历史作品和作者相关背景的能力.
- 通过整合计算和历史方法,促进对早期现代哲学更细致的理解.
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