impresso 文字大规模重复使用. 在语义上丰富的历史报纸中探索文本重用数据的接口
Marten Düring1, Matteo Romanello2, Maud Ehrmann3
1Digital History & Historiography, Luxembourg Centre for Contemporary and Digital History, Esch-sur-Alzette, Luxembourg.
Frontiers in big data
|November 29, 2023
概括
本研究介绍了impresso Text Reuse at Scale,这是一个探索历史报纸中文本重复使用的新型界面. 它将文本重复使用数据与语义丰富性集成在一起,用于多功能文本间分析.
科学领域:
- 数字人文学科 数字人文学科
- 计算语言学 计算语言学
- 信息科学 信息科学 信息科学
背景情况:
- 文本重用分析对于人文研究至关重要,有助于研究文本接收和出版实践.
- 交互式可视化通常用于突出文本段中的关系和差异.
- 现有的工具往往缺乏全面整合的文本重复使用数据与各种语义丰富.
研究的目的:
- 为了介绍impresso的Text Reuse at Scale,这是第一个将文本重用数据与语义丰富相结合的界面,用于探索历史报纸公司.
- 为了实现在大型历史文本收藏中对文本间关系的多功能和可扩展分析.
- 支持数字人文学科研究中的近距离和远距离阅读视角.
主要方法:
- 开发了一个接口,将文本重复使用数据与主题建模,命名实体识别和分类,语言检测,文档类型检测和报纸元数据集成在一起.
- 结合了强大的搜索和过操作与可视化工具.
- 专注于在历史性的报纸公司中实现对文本间关系的可扩展探索.
主要成果:
- Impresso的Text Reuse at Scale接口成功地集成了多种数据类型,用于全面的文本重复使用分析.
- 接口支持多功能探索,将搜索功能与近距离和远距离阅读功能相结合.
- 用户评估结果表明原型在解决历史研究目标和用户任务方面的有效性.
结论:
- 在规模上进行文本重用,impresso提供了一种全新的,综合的方法来分析历史报纸中的文本重用.
- 该接口通过将文本重复使用数据与丰富的语义和元数据丰富相结合,增强了对文本间的研究.
- 该工具为研究历史文本重用的数字人文学科研究人员提供了一个可扩展和多功能平台.
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