Mazajak: An Online Arabic Sentiment Analyser

Ibrahim Abu Farha, Walid Magdy

Research output: Chapter in Book/Report/Conference proceedingConference contribution


Sentiment analysis (SA) is one of the most useful natural language processing applications. Literature is flooding with many papers and systems addressing this task, but most of the work is focused on English. In this paper, we present “Mazajak”, an online system for Arabic SA. The system is based on a deep learning model, which achieves state-of-theart results on many Arabic dialect datasets including SemEval 2017 and ASTD. The availability of such system should assist various applications and research that rely on sentiment analysis as a tool.
Original languageEnglish
Title of host publicationProceedings of the Fourth Arabic Natural Language Processing Workshop
PublisherAssociation for Computational Linguistics (ACL)
Number of pages7
ISBN (Electronic)978-1-950737-32-1
Publication statusAccepted/In press - 24 May 2019
EventThe Fourth Arabic Natural Language Processing Workshop - Florence, Italy
Duration: 1 Aug 20192 Aug 2019
Conference number: 4


WorkshopThe Fourth Arabic Natural Language Processing Workshop
Abbreviated titleWANLP 2019
Internet address


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