论文标题
北美相关推文的探索性分析，以告知公共卫生学院
Exploratory Analysis of COVID-19 Related Tweets in North America to Inform Public Health Institutes
论文作者
论文摘要
社交媒体是一个丰富的来源，我们可以了解人们对社会问题的反应。由于Covid-19对人们的生活产生了重大影响，因此必须捕捉人们对公共卫生干预措施的反应并了解其担忧。在本文中，我们旨在调查人们对北美Covid-19的反应和关注，尤其是专注于加拿大。我们使用主题建模和基于方面的情感分析分析了Covid-19相关推文，并与公共卫生专家解释结果。我们将讨论的主题时间表与COVID-19的公共卫生干预措施的实施时间表进行了比较。我们还研究了人们对Covid-19相关问题的情感。我们讨论在设计新干预措施政策时，结果如何对公共卫生机构有所帮助。我们的工作显示了如何将自然语言处理（NLP）技术应用于领域专家参与的公共卫生问题。
Social media is a rich source where we can learn about people's reactions to social issues. As COVID-19 has significantly impacted on people's lives, it is essential to capture how people react to public health interventions and understand their concerns. In this paper, we aim to investigate people's reactions and concerns about COVID-19 in North America, especially focusing on Canada. We analyze COVID-19 related tweets using topic modeling and aspect-based sentiment analysis, and interpret the results with public health experts. We compare timeline of topics discussed with timing of implementation of public health interventions for COVID-19. We also examine people's sentiment about COVID-19 related issues. We discuss how the results can be helpful for public health agencies when designing a policy for new interventions. Our work shows how Natural Language Processing (NLP) techniques could be applied to public health questions with domain expert involvement.
