推特情绪 地理指数 数据集
Yuchen Chai1, Devika Kakkar2, Juan Palacios1
1Sustainable Urbanization Lab, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
Scientific data
|October 9, 2023
概括
这项研究介绍了推特情绪地理指数 (TSGI),这是一个全球地理标签推特数据库. TSGI提供特定位置的情绪数据,以帮助衡量主观幸福感 (SWB) 并为政策提供信息.
科学领域:
- 计算社会科学 计算社会科学
- 地理空间分析是什么?
- 自然语言处理自然语言处理.
背景情况:
- 主观福祉 (SWB) 是全球发展的一个关键目标.
- 政府越来越多地与传统指标一起使用SWB指标.
- 需要大规模的,特定于位置的情绪数据.
研究的目的:
- 介绍推特情绪地理指数 (TSGI) 数据库.
- 为情绪分析提供一个全面的开源资源.
- 促进对公众情绪地理分布的研究.
主要方法:
- 利用深度学习和自然语言处理.
- 分析了自2019年以来全球43亿条地理标签的推特.
- 在admin-2层面开发了多语言情绪测量.
主要成果:
- 创建了TSGI,这是迄今为止最广泛的Twitter情绪数据库.
- 覆盖了164个国家,每天的情绪频率.
- 建立了一个网页平台,以访问TSGI数据.
结论:
- TSGI为理解地理情绪提供了一个新的工具.
- 该数据库支持对主观幸福 (SWB) 指标的研究.
- 对TSGI数据的开放访问促进了更广泛的科学调查.
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