Research interest in Arabic sentiment analysis (ASA) is rapidly increasing, therefore it is important to compile, document and analyze efforts in this area to facilitate further development. These ASA efforts aim to create tools that can sift through and gain meaningful knowledge from the unending data explosion. ASA approaches have continued to evolve despite lack in Arabic linguistic resources. In this paper we conduct a comprehensive and up-to-date review of recent resources for ASA.
CITATION STYLE
al Owisheq, A., al Humoud, S., al Twairesh, N., & al Buhairi, T. (2016). Arabic sentiment analysis resources: A survey. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9742, pp. 267–278). Springer Verlag. https://doi.org/10.1007/978-3-319-39910-2_25
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