  With the emergence of Web 2.0 technology and the expansion of on-line social
networks, current Internet users have the ability to add their reviews, ratings
and opinions on social media and on commercial and news web sites. Sentiment
analysis aims to classify these reviews reviews in an automatic way. In the
literature, there are numerous approaches proposed for automatic sentiment
analysis for different language contexts. Each language has its own properties
that makes the sentiment analysis more challenging. In this regard, this work
presents a comprehensive survey of existing Arabic sentiment analysis studies,
and covers the various approaches and techniques proposed in the literature.
Moreover, we highlight the main difficulties and challenges of Arabic sentiment
analysis, and the proposed techniques in literature to overcome these barriers.
