neutroon/arsentd_lev
收藏Hugging Face2025-12-16 更新2025-12-20 收录
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https://hf-mirror.com/datasets/neutroon/arsentd_lev
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资源简介：
阿拉伯语黎凡特方言推特情感数据集(ArSenTD-LEV)包含4000条阿拉伯语推文，这些推文均等来自约旦、黎巴嫩、巴勒斯坦和叙利亚四个国家。数据集支持情感分类和主题分类任务，包含推文内容、国家来源、讨论主题、情感极性(非常负面、负面、中性、正面、非常正面)、情感表达方式(显式、隐式、无)以及情感目标等字段。该数据集专为基于目标的情感分析研究而创建。
The Arabic Sentiment Twitter Dataset for Levantine dialect (ArSenTD-LEV) contains 4,000 tweets written in Arabic and equally retrieved from Jordan, Lebanon, Palestine and Syria. The dataset supports sentiment classification and topic classification tasks, including fields such as tweet content, country of origin, discussion topic, sentiment polarity (very_negative, negative, neutral, positive, very_positive), sentiment expression (explicit, implicit, none) and sentiment target. The dataset was created specifically for target-based sentiment analysis research.
提供机构：
neutroon
