CoWIN推特数据集:关于印度COVID-19疫苗接种平台的公共话语的综合收集
Shubham Mittal1,2, Swarnalakshmi Umamaheswaran1,2
1Symbiosis Institute of Business Management, Symbiosis International (Deemed University), Bengaluru 560100, India.
这一数据集捕捉了印度COVID-19疫苗接种平台CoWIN的公众情绪,使用2021年的超过635,000条推文. 它包括用于分析的原始,处理和情绪标记的数据.
科学领域:
- 公共卫生 公共卫生
- 数据科学数据科学数据科学
- 计算社会科学 计算社会科学
背景情况:
- 由于COVID-19的流行,全球范围内需要快速推出疫苗.
- 印度的疫苗接种计划利用了CoWIN数字平台进行管理.
- 了解公众的看法对于大规模卫生倡议的成功至关重要.
研究的目的:
- 介绍 CoWIN Twitter 数据集,这是关于印度COVID-19疫苗接种平台的公众意见的综合收集.
- 促进与疫苗接种活动相关的公众情绪,主题和语言处理的研究.
- 为决策者提供有关管理数字卫生系统和公共卫生倡议的见解.
主要方法:
- 在2021年1月至12月使用Twitter学术API收集了635000条提及"cowin"的推文.
- 处理数据以创建一组清理的419,409英语推文,删除像URL和标签这样的噪音.
- 开发了一个标记子集,对推文进行情绪分析 (积极/消极).
主要成果:
- 数据集包括原始的推特数据,经过处理的数据和添加的元数据 (月份,类别) 以及标记情绪的子集.
- 对数据的分析可以揭示有关印度COVID-19疫苗接种的公共主题和情绪.
- 原始数据的多语言性质支持语言处理研究.
结论:
- 在健康危机期间,CoWIN Twitter 数据集是研究公众对数字健康平台的意见的宝贵资源.
- 它提供了对公众参与和关注的见解,有助于未来的公共卫生政策.
- 该数据集支持公共卫生,数据科学和社会科学领域的跨学科研究.
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