Sentiment analysis for Arabic language: A brief survey of approaches and techniques
It provides a comprehensive overview for researchers and practitioners working on sentiment analysis in Arabic, but it is incremental as it synthesizes existing work without introducing new methods.
This paper surveys existing studies on Arabic sentiment analysis, covering various approaches and techniques proposed in the literature, and highlights the main difficulties and challenges specific to the Arabic language.
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.