在长期COVID上挖掘希腊推特,使用情绪分析和主题建模
Afroditi Katika1,2, Emmanouil Zoulias1, Vassiliki Koufi2
1Faculty of Nursing, National and Kapodistrian University of Athens, Athens, Greece.
Studies in health technology and informatics
|June 30, 2023
概括
许多长期COVID患者在社交媒体上分享他们的经历. 对2022年希腊推特数据的分析显示,负面情绪主导着关于长期COVID影响和恢复的讨论.
科学领域:
- 公共卫生 公共卫生
- 社交媒体分析 社交媒体分析
- 冠状病毒 冠状病毒
背景情况:
- 长期COVID影响10-20%的COVID-19后患者.
- 社交媒体平台是公共卫生话语的关键.
- 了解公众对长期COVID的看法至关重要.
研究的目的:
- 分析2022年的希腊推特数据. 长期COVID.
- 识别流行讨论主题和公众情绪.
- 通过社交媒体的洞察力,为公共卫生战略提供信息.
主要方法:
- 从2022年开始收集和分析希腊语推特.
- 使用自然语言处理来提取主题.
- 对用户生成的内容进行情绪分析.
主要成果:
- 关键话题包括长期COVID的影响,愈合时间,对儿童的影响和疫苗.
- 59%的分析的推文表达了对长期COVID的负面情绪.
- 积极或中立的情绪占了剩余的41%.
结论:
- 希腊社交媒体揭示了有关长期COVID的严重负面情绪.
- 公共卫生机构可以利用社交媒体进行疾病感知监测.
- 积极分析在线讨论可以指导公共卫生干预.
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