COVIDHealth

COVIDHealth数据集是由查特阿格农大学工程技术学院计算机科学与工程系的研究团队创建，专注于收集和分析与COVID-19相关的Twitter数据。该数据集包含6667条推文，这些推文被细分为五个关键类别：健康风险、预防、症状、传播和治疗。创建过程中，研究团队利用Twitter API收集推文ID，并通过预定义的关键词筛选相关推文进行手动标注。数据集的应用领域主要集中在公共卫生领域，旨在通过分析社交媒体上的讨论，帮助监测和理解公众对COVID-19的反应和信息需求，从而为公共卫生决策提供支持。

The COVIDHealth dataset was developed by a research team from the Department of Computer Science and Engineering, School of Engineering and Technology, Chhattisgarh University. This dataset, which focuses on collecting and analyzing COVID-19-related Twitter data, comprises 6,667 tweets categorized into five core categories: health risks, prevention, symptoms, transmission, and treatment. During its development, the research team collected tweet IDs via the Twitter API, screened relevant tweets using pre-defined keywords, and performed manual annotation on these tweets. The dataset is primarily applied in the public health field, with the goal of helping monitor and understand public reactions to COVID-19 and their information needs by analyzing social media discussions, thereby providing support for public health decision-making.