irfan-ahmad/AURA-Sentiment

AURA-Sentiment数据集是一个包含29,700条阿拉伯语应用程序评论的集合，这些评论来自iOS和Android平台。每条评论都带有情感标签，使研究人员和从业者能够开发和评估针对阿拉伯语的情感分析模型。数据集包括以下列：评论（阿拉伯语评论文本）、应用程序名称（被评论的应用程序名称）、平台（评论发布的平台，iOS或Android）和情感（评论的情感标签，包括正面和负面）。数据集适用于阿拉伯语情感分类、应用程序评论的情感分析模型开发与微调，以及阿拉伯语地区的用户反馈趋势研究。

The AURA Sentiment Dataset is a collection of 29,700 app reviews in Arabic from iOS and Android platforms. Each review is labeled with a sentiment class, enabling researchers and practitioners to develop and evaluate sentiment analysis models tailored to the Arabic language. The dataset includes the following columns: review (the text of the app review in Arabic), appName (the name of the application reviewed), platform (the platform from which the review was posted, iOS or Android), and sentiment (the sentiment label assigned to the review, including positive and negative). This dataset is suitable for sentiment classification in Arabic-language text, developing and fine-tuning sentiment analysis models for app reviews, and studying user feedback trends on mobile applications in Arabic-speaking regions.