加拿大,美国和欧洲的长期COVID话语:对Twitter数据的主题建模和情绪分析
Ahmed Ghassan Tawfiq AbuRaed1, Emil Azuma Prikryl2, Giuseppe Carenini1
1Department of Computer Science, The University of British Colombia, Vancouver, BC, Canada.
Journal of medical Internet research
|December 9, 2024
概括
社交媒体分析显示,公众对北美和欧洲的长期COVID持续时间,持续症状和治疗需求感到担忧. 调查结果为公共卫生策略和对受影响个人的支持提供了信息.
科学领域:
- 公共卫生 公共卫生
- 计算社会科学 计算社会科学
- 数字流行病学数字流行病学
背景情况:
- 社交媒体数据为公众对长期COVID (后COVID-19状态) 等重大健康问题的看法提供了洞察力.
- 了解公众情绪对于跟踪不断变化的叙事和对长期COVID的反应至关重要.
- 分析社交媒体数据有助于理解关于慢性健康状况的公共话语.
研究的目的:
- 调查公众对加拿大,美国和欧洲长期COVID的看法和情绪.
- 通过主题建模和情绪分析分析英语tweet.
- 为了定制公共卫生战略,识别公共话语的区域差异.
主要方法:
- 从2021年开始使用上下文化主题建模分析长时间的COVID相关推文.
- 使用Llama 2进行零射击情绪分析,对推特进行分类 (积极,消极,中立).
- 与公共卫生专家一起解释结果,比较不同地区的主题时间表.
主要成果:
- 确定了关键主题:儿童/接种疫苗的长期COVID,持续时间/痛苦,持续症状,治疗研究需求和症状测量.
- 观察到人们普遍担心长期的COVID持续时间,痛苦和持续的症状.
- 情绪分析揭示了积极和消极情绪的混合,随着重大事件的发生而波动.
结论:
- 自然语言处理和专家输入为公共卫生监测和干预提供了洞察力.
- 追踪关于长期COVID的公共话语对于告知策略,打击错误信息和支持患者至关重要.
- 社交媒体分析,利用新兴技术,增强公共卫生对不断变化的健康问题的反应.
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