AraCOVID19-SSD

AraCOVID19-SSD是一个由数字人文研究与发展部科学和技术信息研究中心创建的阿拉伯语COVID-19情感和讽刺检测数据集，包含5,162条推文。该数据集旨在通过分析社交媒体上的内容，自动识别和理解用户在COVID-19相关讨论中使用的讽刺和情感表达。数据集的创建过程涉及关键词搜索、数据收集、过滤和人工标注。该数据集的应用领域主要集中在情感分析和讽刺检测，以帮助机器更好地理解和响应社交媒体上的复杂情感表达。AraCOVID19-SSD is an Arabic COVID-19 sentiment and sarcasm detection dataset developed by the Scientific and Technical Information Research Center under the Ministry of Digital Humanities Research and Development. It contains 5,162 tweets. This dataset aims to automatically identify and understand sarcasm and emotional expressions used by users in COVID-19-related discussions via social media content analysis. The dataset's creation process involves keyword search, data collection, filtering and manual annotation. Its main application domains focus on sentiment analysis and sarcasm detection, to help machines better understand and respond to complex emotional expressions on social media.