Arabic Sentiment Analysis: A Systematic Literature Review
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,...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2020-01-01
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| Series: | Applied Computational Intelligence and Soft Computing |
| Online Access: | http://dx.doi.org/10.1155/2020/7403128 |
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| _version_ | 1832559243650138112 |
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| author | Abdullatif Ghallab Abdulqader Mohsen Yousef Ali |
| author_facet | Abdullatif Ghallab Abdulqader Mohsen Yousef Ali |
| author_sort | Abdullatif Ghallab |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-d2d6565d89dc4d29ba2fb55c09c8e2de |
| institution | Kabale University |
| issn | 1687-9724 1687-9732 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Applied Computational Intelligence and Soft Computing |
| spelling | doaj-art-d2d6565d89dc4d29ba2fb55c09c8e2de2025-02-03T01:30:31ZengWileyApplied Computational Intelligence and Soft Computing1687-97241687-97322020-01-01202010.1155/2020/74031287403128Arabic Sentiment Analysis: A Systematic Literature ReviewAbdullatif Ghallab0Abdulqader Mohsen1Yousef Ali2University of Science and Technology, Sana’a, YemenUniversity of Science and Technology, Sana’a, YemenUniversity of Science and Technology, Sana’a, YemenWith 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.http://dx.doi.org/10.1155/2020/7403128 |
| spellingShingle | Abdullatif Ghallab Abdulqader Mohsen Yousef Ali Arabic Sentiment Analysis: A Systematic Literature Review Applied Computational Intelligence and Soft Computing |
| title | Arabic Sentiment Analysis: A Systematic Literature Review |
| title_full | Arabic Sentiment Analysis: A Systematic Literature Review |
| title_fullStr | Arabic Sentiment Analysis: A Systematic Literature Review |
| title_full_unstemmed | Arabic Sentiment Analysis: A Systematic Literature Review |
| title_short | Arabic Sentiment Analysis: A Systematic Literature Review |
| title_sort | arabic sentiment analysis a systematic literature review |
| url | http://dx.doi.org/10.1155/2020/7403128 |
| work_keys_str_mv | AT abdullatifghallab arabicsentimentanalysisasystematicliteraturereview AT abdulqadermohsen arabicsentimentanalysisasystematicliteraturereview AT yousefali arabicsentimentanalysisasystematicliteraturereview |