Arabic Sentiment Analysis: A Systematic Literature Review
Joint Authors
Mohsen, Abdulqader M.
Ghallab, Abdullatif
Ali, Yousef
Source
Applied Computational Intelligence and Soft Computing
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-21, 21 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-01-29
Country of Publication
Egypt
No. of Pages
21
Main Subjects
Information Technology and Computer Science
Abstract EN
With the recently grown attention from different research communities for opinion mining, there is an evolving body of work on Arabic Sentiment Analysis (ASA).
This paper introduces a systematic review of the existing literature relevant to ASA.
The main goals of the review are to support research, to propose further areas for future studies in ASA, and to smoothen the progress of other researchers’ search for related studies.
The findings of the review propose a taxonomy for sentiment classification methods.
Furthermore, the limitations of existing approaches are highlighted in the preprocessing step, feature generation, and sentiment classification methods.
Some likely trends for future research with ASA are suggested in both practical and theoretical aspects.
American Psychological Association (APA)
Ghallab, Abdullatif& Mohsen, Abdulqader M.& Ali, Yousef. 2020. Arabic Sentiment Analysis: A Systematic Literature Review. Applied Computational Intelligence and Soft Computing،Vol. 2020, no. 2020, pp.1-21.
https://search.emarefa.net/detail/BIM-1126023
Modern Language Association (MLA)
Ghallab, Abdullatif…[et al.]. Arabic Sentiment Analysis: A Systematic Literature Review. Applied Computational Intelligence and Soft Computing No. 2020 (2020), pp.1-21.
https://search.emarefa.net/detail/BIM-1126023
American Medical Association (AMA)
Ghallab, Abdullatif& Mohsen, Abdulqader M.& Ali, Yousef. Arabic Sentiment Analysis: A Systematic Literature Review. Applied Computational Intelligence and Soft Computing. 2020. Vol. 2020, no. 2020, pp.1-21.
https://search.emarefa.net/detail/BIM-1126023
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1126023