TUNIZI：突尼斯阿拉伯语情感分析数据集
TUNIZI: a Tunisian Arabizi sentiment analysis Dataset
摘要：
在社交媒体上，阿拉伯人倾向于用自己的方言表达自己。更具体地说，突尼斯人使用称为“突尼斯阿拉伯语”的非正式方式。分析研究旨在探索和识别在线意见，旨在利用它们进行规划和预测，例如测量客户满意度和制定销售和营销策略。然而，基于深度学习的分析研究需要大量数据。另一方面，非洲语言和方言被认为是低资源语言。例如，据我们所知，不存在带注释的突尼斯Arabizi数据集。在本文中，我们介绍了突尼斯的情感分析突尼斯Arabizi数据集，从社交网络收集，预处理的分析研究和注释手动突尼斯母语。
英文摘要：
On social media, Arabic people tend to express themselves in their own local dialects. More particularly, Tunisians use the informal way called "Tunisian Arabizi". Analytical studies seek to explore and recognize online opinions aiming to exploit them for planning and prediction purposes such as measuring the customer satisfaction and establishing sales and marketing strategies. However, analytical studies based on Deep Learning are data hungry. On the other hand, African languages and dialects are considered low resource languages. For instance, to the best of our knowledge, no annotated Tunisian Arabizi dataset exists. In this paper, we introduce TUNIZI a sentiment analysis Tunisian Arabizi Dataset, collected from social networks, preprocessed for analytical studies and annotated manually by Tunisian native speakers.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
