ASAD

ASAD是一个基于Twitter的阿拉伯语情感分析基准数据集，由阿卜杜拉国王科技大学发起并赞助。该数据集包含95000条高质量标注的推文，分为积极、消极和中性三个情感类别。数据收集和标注过程由专业团队执行，确保了数据的质量和可靠性。ASAD数据集旨在推动阿拉伯语自然语言处理的研究，特别是在情感分类领域，同时也为相关竞赛提供了数据支持。

ASAD is a Twitter-based Arabic sentiment analysis benchmark dataset initiated and sponsored by King Abdullah University of Science and Technology. It contains 95,000 high-quality annotated tweets, which are divided into three sentiment classes: positive, negative, and neutral. The data collection and annotation process was carried out by a professional team, ensuring the quality and reliability of the dataset. The ASAD dataset aims to advance research in Arabic natural language processing, particularly in the field of sentiment classification, and also offers data support for relevant competitions.