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Sentiment analysis for Malay language: systematic literature review

Recent research and developments in Sentiment Analysis (SA) have simplified sentiment detection and classification from textual content. The related domains for these studies are diverse and comprise fields such as tourism, costumer review, finance, software engineering, speech conversation, social...

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Main Authors: Handayani, Dini, Awang Abu Bakar, Normi Sham, Yaacob, Hamwira Sakti, Abuzaraida, Mustafa Ali
Format: Conference or Workshop Item
Language:English
English
Published: Institute of Electrical and Electronics Engineers Inc. 2018
Subjects:
T Technology (General)
T10.5 Communication of technical information
Online Access:http://irep.iium.edu.my/65745/1/65745_Sentiment%20analysis%20for%20Malay%20language.pdf
http://irep.iium.edu.my/65745/2/65745_Sentiment%20analysis%20for%20Malay%20language_SCOPUS.pdf
http://irep.iium.edu.my/65745/
https://ieeexplore.ieee.org/document/8567139
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spelling my.iium.irep.657452019-02-27T03:40:36Z http://irep.iium.edu.my/65745/ Sentiment analysis for Malay language: systematic literature review Handayani, Dini Awang Abu Bakar, Normi Sham Yaacob, Hamwira Sakti Abuzaraida, Mustafa Ali T Technology (General) T10.5 Communication of technical information Recent research and developments in Sentiment Analysis (SA) have simplified sentiment detection and classification from textual content. The related domains for these studies are diverse and comprise fields such as tourism, costumer review, finance, software engineering, speech conversation, social media content, news and so on. SA research and developments field have been done on various languages such as Chinese and English language. However, SA research on other languages such as Malay language is still scarce. Thus, there is a need for constructing SA research specifically for Malay language. To understand trends and to support practitioners and researchers with comprehension information with regard to SA for Malay language, this study exhibit to review published articles on SA for Malay language. From five online databases including ACM, Emerald insight, IEEE Xplore, Science Direct, and Scopus, 2433 scientific articles were obtained. Moreover, through the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) Statement, 10 articles have been chosen for the review process. Those articles have been reviewed depend on a few categories consisting of the aim of the study, SA classification techniques, as well as the domain and source of content. As a result, the conducted systematic literature review shed some light about the starting point to research in term of SA for Malay language. Institute of Electrical and Electronics Engineers Inc. 2018-07 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/65745/1/65745_Sentiment%20analysis%20for%20Malay%20language.pdf application/pdf en http://irep.iium.edu.my/65745/2/65745_Sentiment%20analysis%20for%20Malay%20language_SCOPUS.pdf Handayani, Dini and Awang Abu Bakar, Normi Sham and Yaacob, Hamwira Sakti and Abuzaraida, Mustafa Ali (2018) Sentiment analysis for Malay language: systematic literature review. In: 2018 International Conference on Information and Communication Technology for the Muslim World (ICT4M), 23rd-25th July 2018, Kuala Lumpur. https://ieeexplore.ieee.org/document/8567139 10.1109/ICT4M.2018.00063
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
English
topic T Technology (General)
T10.5 Communication of technical information
spellingShingle T Technology (General)
T10.5 Communication of technical information
Handayani, Dini
Awang Abu Bakar, Normi Sham
Yaacob, Hamwira Sakti
Abuzaraida, Mustafa Ali
Sentiment analysis for Malay language: systematic literature review
description Recent research and developments in Sentiment Analysis (SA) have simplified sentiment detection and classification from textual content. The related domains for these studies are diverse and comprise fields such as tourism, costumer review, finance, software engineering, speech conversation, social media content, news and so on. SA research and developments field have been done on various languages such as Chinese and English language. However, SA research on other languages such as Malay language is still scarce. Thus, there is a need for constructing SA research specifically for Malay language. To understand trends and to support practitioners and researchers with comprehension information with regard to SA for Malay language, this study exhibit to review published articles on SA for Malay language. From five online databases including ACM, Emerald insight, IEEE Xplore, Science Direct, and Scopus, 2433 scientific articles were obtained. Moreover, through the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) Statement, 10 articles have been chosen for the review process. Those articles have been reviewed depend on a few categories consisting of the aim of the study, SA classification techniques, as well as the domain and source of content. As a result, the conducted systematic literature review shed some light about the starting point to research in term of SA for Malay language.
format Conference or Workshop Item
author Handayani, Dini
Awang Abu Bakar, Normi Sham
Yaacob, Hamwira Sakti
Abuzaraida, Mustafa Ali
author_facet Handayani, Dini
Awang Abu Bakar, Normi Sham
Yaacob, Hamwira Sakti
Abuzaraida, Mustafa Ali
author_sort Handayani, Dini
title Sentiment analysis for Malay language: systematic literature review
title_short Sentiment analysis for Malay language: systematic literature review
title_full Sentiment analysis for Malay language: systematic literature review
title_fullStr Sentiment analysis for Malay language: systematic literature review
title_full_unstemmed Sentiment analysis for Malay language: systematic literature review
title_sort sentiment analysis for malay language: systematic literature review
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2018
url http://irep.iium.edu.my/65745/1/65745_Sentiment%20analysis%20for%20Malay%20language.pdf
http://irep.iium.edu.my/65745/2/65745_Sentiment%20analysis%20for%20Malay%20language_SCOPUS.pdf
http://irep.iium.edu.my/65745/
https://ieeexplore.ieee.org/document/8567139
_version_ 1643618997228273664
score 13.211869

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