Year: 2019
Type: conference-paper
Abstract: 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.
DOI: 10.18653/v1/w19-4621
Authors: Ibrahim Abu Farha, Walid Magdy
Institution: University of Edinburgh
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W2964573145