Classification of Arabic Tweets: A Review

Text classification is a prominent research area, gaining more interest in academia, industry and social media. Arabic one of the world’s most famous languages it had significant role science, mathematics philosophy Europe middle ages. During Arab Spring, media, that is, Facebook, Twitter Instagram, played an essential establishing, running, spreading these movements. Sentiment Analysis (ASA) Classification (ATC) for media tools are hot topics, aiming to obtain valuable text insights. Although some surveys available on this topic, studies Tweets need be classified basis machine learning algorithms. Machine algorithms lexicon-based classifications considered processing. In paper, comparison previous presented, elaborating comprehensive study Tweets. Research according algorithms, supervised learning, unsupervised hybrid, classifications, their advantages/disadvantages discussed comprehensively. We pose different challenges future directions.