CovidTracker

CovidTracker是由爱丁堡龙比亚大学创建的一个全面的数据集，专注于收集与Covid-19相关的英国社交媒体内容。该数据集包含超过940万条来自Twitter和Facebook的帖子，旨在通过自然语言处理技术分析公众对疫情的反应。数据集的创建过程中，研究团队与公共卫生政策分析师和医生合作，开发了一个主题分类法，以有效确定文本内容的主要讨论主题。CovidTracker的应用领域广泛，包括但不限于帮助公共卫生专业人员理解公众情绪，优化未来类似事件的公共政策干预。

CovidTracker is a comprehensive dataset developed by Edinburgh Napier University, focusing on collecting UK social media content related to COVID-19. This dataset includes over 9.4 million posts from Twitter and Facebook, aiming to analyze public responses to the COVID-19 pandemic through natural language processing techniques. During the dataset's creation, the research team collaborated with public health policy analysts and physicians to establish a topic taxonomy, which can effectively identify the core discussion themes in the textual content. CovidTracker has broad application domains, including but not limited to assisting public health professionals in understanding public sentiment and optimizing public policy interventions for similar future events.