Arabic Aspect-Based Sentiment Analysis: A Systematic Literature Review

Recently sentiment analysis in Arabic has attracted much attention from researchers. A modest number of studies have been conducted on Arabic sentiment analysis. However, due to the vast increase in users’ comments and reviews on social media and e-commerce websites, the necessity to dete...

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Autores principales:	Ruba Obiedat, Duha Al-Darras, Esra Alzaghoul, Osama Harfoushi
Formato:	article
Lenguaje:	EN
Publicado:	IEEE 2021
Materias:	Arabic sentiment analysis aspect-based sentiment analysis feature-based sentiment analysis multi-aspect sentiment analysis sentiment analysis Electrical engineering. Electronics. Nuclear engineering TK1-9971
Acceso en línea:	https://doaj.org/article/b50d9269712a4285bb9378236fe427ea
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id	oai:doaj.org-article:b50d9269712a4285bb9378236fe427ea
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spelling	oai:doaj.org-article:b50d9269712a4285bb9378236fe427ea2021-11-20T00:01:04ZArabic Aspect-Based Sentiment Analysis: A Systematic Literature Review2169-353610.1109/ACCESS.2021.3127140https://doaj.org/article/b50d9269712a4285bb9378236fe427ea2021-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9611271/https://doaj.org/toc/2169-3536Recently sentiment analysis in Arabic has attracted much attention from researchers. A modest number of studies have been conducted on Arabic sentiment analysis. However, due to the vast increase in users’ comments and reviews on social media and e-commerce websites, the necessity to detect sentence-level and aspect-level sentiments has also increased. The aspect-based sentiment analysis has emerged to detect sentiments at the aspect level. Few studies have attempted to perform aspect-based sentiment analysis on Arabic texts because Arabic natural language processing is a challenging task and because of the lack of available Arabic annotated corpora. In this paper, we conducted a systematic review of the methods, techniques, and datasets employed in aspect-based sentiment analysis on Arabic texts. A total of 21 articles published between 2015–2021 were included in this review. After analysing these articles, we found a lack of annotated datasets that can be used by researchers. In addition, the used datasets were limited to few fields. This review will serve as a foundation for researchers interested in Aspect-Based Sentiment Analysis, it will assist them in developing new models and techniques to tackle this task in the future.Ruba ObiedatDuha Al-DarrasEsra AlzaghoulOsama HarfoushiIEEEarticleArabic sentiment analysisaspect-based sentiment analysisfeature-based sentiment analysismulti-aspect sentiment analysissentiment analysisElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENIEEE Access, Vol 9, Pp 152628-152645 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Arabic sentiment analysis aspect-based sentiment analysis feature-based sentiment analysis multi-aspect sentiment analysis sentiment analysis Electrical engineering. Electronics. Nuclear engineering TK1-9971
spellingShingle	Arabic sentiment analysis aspect-based sentiment analysis feature-based sentiment analysis multi-aspect sentiment analysis sentiment analysis Electrical engineering. Electronics. Nuclear engineering TK1-9971 Ruba Obiedat Duha Al-Darras Esra Alzaghoul Osama Harfoushi Arabic Aspect-Based Sentiment Analysis: A Systematic Literature Review
description	Recently sentiment analysis in Arabic has attracted much attention from researchers. A modest number of studies have been conducted on Arabic sentiment analysis. However, due to the vast increase in users’ comments and reviews on social media and e-commerce websites, the necessity to detect sentence-level and aspect-level sentiments has also increased. The aspect-based sentiment analysis has emerged to detect sentiments at the aspect level. Few studies have attempted to perform aspect-based sentiment analysis on Arabic texts because Arabic natural language processing is a challenging task and because of the lack of available Arabic annotated corpora. In this paper, we conducted a systematic review of the methods, techniques, and datasets employed in aspect-based sentiment analysis on Arabic texts. A total of 21 articles published between 2015–2021 were included in this review. After analysing these articles, we found a lack of annotated datasets that can be used by researchers. In addition, the used datasets were limited to few fields. This review will serve as a foundation for researchers interested in Aspect-Based Sentiment Analysis, it will assist them in developing new models and techniques to tackle this task in the future.
format	article
author	Ruba Obiedat Duha Al-Darras Esra Alzaghoul Osama Harfoushi
author_facet	Ruba Obiedat Duha Al-Darras Esra Alzaghoul Osama Harfoushi
author_sort	Ruba Obiedat
title	Arabic Aspect-Based Sentiment Analysis: A Systematic Literature Review
title_short	Arabic Aspect-Based Sentiment Analysis: A Systematic Literature Review
title_full	Arabic Aspect-Based Sentiment Analysis: A Systematic Literature Review
title_fullStr	Arabic Aspect-Based Sentiment Analysis: A Systematic Literature Review
title_full_unstemmed	Arabic Aspect-Based Sentiment Analysis: A Systematic Literature Review
title_sort	arabic aspect-based sentiment analysis: a systematic literature review
publisher	IEEE
publishDate	2021
url	https://doaj.org/article/b50d9269712a4285bb9378236fe427ea
work_keys_str_mv	AT rubaobiedat arabicaspectbasedsentimentanalysisasystematicliteraturereview AT duhaaldarras arabicaspectbasedsentimentanalysisasystematicliteraturereview AT esraalzaghoul arabicaspectbasedsentimentanalysisasystematicliteraturereview AT osamaharfoushi arabicaspectbasedsentimentanalysisasystematicliteraturereview
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Arabic Aspect-Based Sentiment Analysis: A Systematic Literature Review

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