  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.
