Linguistics

Engineering

Philosophy

Chromatography

Arabic

Systems engineering

Economics

Analyser

Computer science

Natural language processing

Task (project management)

Management

SemEval

Artificial intelligence

Lemmatisation

Chemistry

Sentiment analysis

Arabic languages

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-the-art 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.

Mazajak: An Online Arabic Sentiment Analyser