论文标题
阿拉伯语的情感分析研究综述
A review of sentiment analysis research in Arabic language
论文作者
论文摘要
情感分析是自然语言处理的任务，最近引起了人们越来越多的关注。但是，情感分析研究主要是为英语进行的。尽管阿拉伯语是互联网上最常用的语言之一，但到目前为止，只有少数研究重点是阿拉伯情感分析。在本文中，我们通过提出现有方法的限制和优势，对最重要的研究作品进行了深入的定性研究。特别是，我们调查了利用机器翻译或转移学习的两种方法，以使英语资源适应阿拉伯语以及直接来自阿拉伯语的方法。
Sentiment analysis is a task of natural language processing which has recently attracted increasing attention. However, sentiment analysis research has mainly been carried out for the English language. Although Arabic is ramping up as one of the most used languages on the Internet, only a few studies have focused on Arabic sentiment analysis so far. In this paper, we carry out an in-depth qualitative study of the most important research works in this context by presenting limits and strengths of existing approaches. In particular, we survey both approaches that leverage machine translation or transfer learning to adapt English resources to Arabic and approaches that stem directly from the Arabic language.
