Real World Worry Dataset

Real World Worry Dataset是由伦敦大学学院创建的一个关于COVID-19情感反应的文本数据集。该数据集包含5000条文本，分为2500条短文本和2500条长文本，反映了英国居民在COVID-19疫情期间的情感状态。数据收集于2020年4月，正值英国实施封锁措施期间。数据集的创建旨在通过分析文本内容，理解人们的情感反应和担忧，以及这些反应如何与语言特征相关联。该数据集的应用领域包括情感分析、语言学研究以及公共卫生政策评估，旨在帮助政府和组织更好地理解和应对疫情对人们心理健康的影响。

Real World Worry Dataset is a text dataset focusing on COVID-19-related emotional responses, developed by University College London. It contains 5000 textual entries, divided into 2500 short texts and 2500 long texts, which reflect the emotional states of UK residents during the COVID-19 pandemic. The data was collected in April 2020, when the UK had implemented nationwide lockdown measures. The dataset was created to analyze textual content, aiming to understand people's emotional responses and concerns, as well as the correlation between these responses and linguistic features. Its application fields cover sentiment analysis, linguistic research and public health policy evaluation, with the goal of helping governments and organizations better understand and address the pandemic's impact on public mental health.