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加拿大Twitter用户在COVID-19封锁期间情绪趋势的动态与病例数的关系:基于人工智能的情绪检测方法

Swarna Weerasinghe1, Oladapo Oyebode2, Rita Orji2

  • 1Department of Community Health and Epidemiology, Faculty of Medicine, Dalhousie University, Halifax, Canada.

Digital health
|May 30, 2023
PubMed
概括

加拿大推特用户在COVID-19封锁期间表达了更多的负面情绪,如恐惧和愤怒. 负面情绪随着COVID-19病例的增加而增加,各省的影响各不相同.

关键词:
在ARIMA建模中使用ARIMA模型.在 COVID-19 疫情中,人工智能的人工智能是人工智能.情绪影响评估 情绪影响评估延迟期估计的延迟时间估计.情绪分析是一种情绪分析.

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