论文标题
主题，情感和影响分析：COVID19在社交媒体上寻求信息
Topic, Sentiment and Impact Analysis: COVID19 Information Seeking on Social Media
论文作者
论文摘要
当人们注意到一些不寻常的事情时，他们会在社交媒体上进行讨论。他们通过文本表达留下情感的痕迹。跨时间和空间对社交媒体数据的系统收集，分析和解释可以为当地爆发，心理健康和社会问题提供见解。这种及时的见解可以通过适当有效的响应来帮助制定策略和资源。这项研究分析了与Covid19相关的澳大利亚领域的大型时空推文数据集。该方法包括卷分析，动态主题建模，情感检测和语义品牌评分，以获取有关澳大利亚不同州和城市的Covid19大流行爆发和公众讨论的见解。将获得的见解与政府报告的实例等独立观察到的现象进行了比较。
When people notice something unusual, they discuss it on social media. They leave traces of their emotions via text expressions. A systematic collection, analysis, and interpretation of social media data across time and space can give insights on local outbreaks, mental health, and social issues. Such timely insights can help in developing strategies and resources with an appropriate and efficient response. This study analysed a large Spatio-temporal tweet dataset of the Australian sphere related to COVID19. The methodology included a volume analysis, dynamic topic modelling, sentiment detection, and semantic brand score to obtain an insight on the COVID19 pandemic outbreak and public discussion in different states and cities of Australia over time. The obtained insights are compared with independently observed phenomena such as government reported instances.
