ArmanEmo

ArmanEmo是一个由阿米尔卡比尔理工大学和伊朗科技大学合作创建的波斯语情感检测数据集，包含超过7000条标注了七种情感类别的波斯语句。数据集内容主要来源于Twitter、Instagram和Digikala等社交媒体平台的用户评论。创建过程中，研究团队采用了人工标注和自动标注相结合的方法，确保数据质量。该数据集主要应用于情感检测领域，帮助企业和在线服务提供商通过分析用户情感，做出更明智的商业决策。

ArmanEmo is a Persian sentiment detection dataset jointly developed by Amirkabir University of Technology and Iran University of Science and Technology. It contains over 7,000 Persian sentences annotated with seven emotion categories. The dataset is primarily sourced from user comments on social media platforms including Twitter, Instagram, and Digikala. During its creation, the research team adopted a combination of manual and automatic annotation methods to ensure data quality. This dataset is mainly applied in the field of sentiment detection, helping enterprises and online service providers make more informed business decisions by analyzing user emotions.