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Can Modern Standard Arabic Approaches be used for Arabic Dialects? Sentiment Analysis as a Case Study

Conference paper
Authors Chatrine (kathrein) Qwaider (abu kwaik)
Stergios Chatzikyriakidis
Simon Dobnik
Published in Proceedings of the 3rd Workshop on Arabic Corpus Linguistics (WACL-3), 22 July 2019, Cardiff, United Kingdom
ISBN 978-1-950737-32-1
Publisher Association for Computational Linguistics
Place of publication Cardiff, United Kingdom
Publication year 2019
Published at Department of Philosophy, Linguistics and Theory of Science
Language en
Links https://www.aclweb.org/anthology/W1...
https://gup.ub.gu.se/file/207858
Subject categories Computational linguistics

Abstract

We present the Shami-Senti corpus, the first Levantine corpus for Sentiment Analysis (SA), and investigate the usage of off-the-shelf models that have been built for Modern Standard Arabic (MSA) on this corpus of Dialectal Arabic (DA). We apply the models on DA data, showing that their accuracy does not exceed 60%. We then proceed to build our own models involving different feature combinations and machine learning methods for both MSA and DA and achieve an accuracy of 83% and 75% respectively.

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