确定COVID-19疫苗情绪的驱动因素,以制定有效的疫苗政策
1School of Public Health and Preventive Medicine, Monash University, 553 St. Kilda Rd., Melbourne, VIC, 3004, Australia.
Heliyon
|September 8, 2023
概括
这项研究使用人工智能分析全球Twitter数据对COVID-19疫苗情绪,确定影响24个月内对疫苗授权公众意见的关键因素.
科学领域:
- 公共卫生 公共卫生
- 计算社会科学 计算社会科学
- 人工智能的人工智能
背景情况:
- "COVID-19"疫情造成了全球性的破坏,影响了健康,经济和社会福祉.
- 接种疫苗对于减轻COVID-19的影响至关重要,但公众的情绪却大不相同.
- 了解公众的疫苗情绪对于政策至关重要,但缺乏全面的研究.
研究的目的:
- 利用Twitter数据开发和应用人工智能驱动的方法来分析全球公众对COVID-19疫苗接种的情绪.
- 确定影响不同平台和人口统计数据的疫苗情绪的关键决定因素.
- 为卫生当局和政策制定者提供有关疫苗接种倡议的见解.
主要方法:
- 利用人工智能 (AI) 技术,包括情绪分析,实体检测,线性回归和物流回归.
- 从2021年2月到2023年4月,处理了与COVID-19疫苗相关的Twitter实时数据.
- 分析了来自100多个国家的45种语言的推特,涵盖了广泛的场景空间.
主要成果:
- 从一个大型的,多语言的,全球推特数据集中成功提取和分析了COVID-19疫苗的情绪.
- 在iOS,Android和Windows平台上确定了影响疫苗情绪的众多决定因素.
- 在超过24个月的长时间内,展示了一种强大的方法来检测情绪驱动因素.
结论:
- 这种由人工智能驱动的方法提供了一种强有力的方法来了解全球疫苗情绪.
- 获得的见解可以为公共卫生策略提供信息,并提高疫苗接种活动的有效性.
- 这项研究提供了对疫苗情绪驱动因素的全面分析,在范围和持续时间方面超过了以前的研究.
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