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在阿姆斯特丹黑人生命问题示威活动之前,期间和之后的荷兰推特:专家注释了数据,协议和标签工具
Laurens H F Müter1,2, Christof van Nimwegen2, Remco C Veltkamp2
1Netherlands Police, Van Deventerlaan 50, 3528 AE, Utrecht, the Netherlands.
Data in brief
|June 24, 2024
概括
荷兰警方开发了一种分析抗议活动期间社交媒体情绪的方法. 这种情绪分析有助于预测示威期间的公共秩序需求.
科学领域:
- 计算社会科学 计算社会科学
- 自然语言处理自然语言处理.
背景情况:
- 对于社交媒体情绪分析的荷兰语言模型的有限可用性.
- 需要工具来监测抗议活动期间的公众情绪,以确保公共秩序和安全.
- 对于执法和政府机构来说,理解抗议动态的相关性.
研究的目的:
- 开发和评估一种分析与抗议有关的社交媒体情绪的方法.
- 在演示前,演示期间和演示后,提供对情感发展的见解.
- 通过预测潜在的执法需求来支持公共秩序和安全管理.
主要方法:
- 在COVID-19大流行期间,与阿姆斯特丹的黑人生命重要抗议活动相关的推特收集.
- 由专门的开源情报 (OSINT) 团队手动注释推文.
- 开发和使用一个公开可用的数据标签工具.
主要成果:
- 一个关于抗议活动的荷兰推特手动标记的数据集.
- 一个用于数据注释的协议,公开提供.
- 为研究人员开发的标签工具的可用性.
结论:
- 这项研究为在抗议活动的背景下对荷兰语言情绪分析提供了宝贵的资源.
- 该方法和数据可以帮助研究人员进行自然语言处理,主题检测和抗议分析.
- 这些发现支持提高公共秩序和安全管理的局势意识.
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