使用BERTopic建模用于 Gerotranscendence和孤独领域的概念发现
B Damayanthi Jesudas1, Finn Wilson2, Rachel A Mavrovich2
1University of Florida College of Dentistry.
Research square
|September 26, 2025
概括
使用BERTopic的自动主题建模有效地从文献中提取本体学概念,帮助开发通过孤独研究的语义丰富促进健康衰老 (PHASES) 本体学.
科学领域:
- 计算语言学 计算语言学
- 本体学 工程学 工程学
- 老年学是一门学科.
- 心理学 心理学 心理学
背景情况:
- 传统的本体学开发是手动的,耗时的,容易产生偏见.
- 自动主题建模提供了一种简化概念发现的方法.
- 这项研究探讨了BERTopic从孤独和老年超越文学中提取概念.
研究的目的:
- 应用BERTopic用于半自动化实体学开发.
- 提取和完善 PHASES 实体学的候选概念.
- 为了比较主题建模效率和质量的默认和自定义BERTopic管道.
主要方法:
- 实施了两个BERTopic管道 (默认和自定义的预处理).
- 主题建模被应用到关于孤独和老年超越的 corpora.
- 语义相似性分析 (共因相似性) 用于合并和整合跨领域的主题.
主要成果:
- BERTopic在两个公司中确定了90个候选本体学术语.
- 定制管道产生了更多细粒度的,特定于领域的主题.
- 主题专家 (SME) 的意见对于完善理论负载的概念至关重要.
结论:
- BERTopic提供了一种高效的,半自动化的方法来抽取本体学术语.
- 语义相似性分析有助于跨领域的概念整合.
- 这种方法增强了本体论的发展,并提供了可复制的方法.
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