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Detecting candidates of depression, anxiety and stress through Malay-written tweets: a preliminary study

Depression, anxiety and stress are not trivial conditions applicable for only the weak-hearted. They can be inflicted by anyone of all age groups, gender, race and social status. While some are courageous to acknowledge their condition, others shy away in shame or denial. In this paper, we proposed...

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Main Authors: Maskat, Ruhaila, Nasrudin, Muhammad Zahier, Musa, Ramli
Format: Article
Language:English
English
Published: Indonesian Journal of Electrical Engineering and Computer Science 2019
Subjects:
HS Societies secret benevolent etc
RC0321 Neuroscience. Biological psychiatry. Neuropsychiatry
Online Access:http://irep.iium.edu.my/79733/13/79733%20Detecting%20candidates%20of%20depression%2C%20anxiety%20and%20stress.pdf
http://irep.iium.edu.my/79733/7/79733_Detecting%20candidates%20of%20depression%2C%20anxiety%20and%20stress_scopus.pdf
http://irep.iium.edu.my/79733/
http://ijeecs.iaescore.com/index.php/IJEECS/article/view/19995/13109
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spelling my.iium.irep.797332020-04-16T03:40:31Z http://irep.iium.edu.my/79733/ Detecting candidates of depression, anxiety and stress through Malay-written tweets: a preliminary study Maskat, Ruhaila Nasrudin, Muhammad Zahier Musa, Ramli HS Societies secret benevolent etc RC0321 Neuroscience. Biological psychiatry. Neuropsychiatry Depression, anxiety and stress are not trivial conditions applicable for only the weak-hearted. They can be inflicted by anyone of all age groups, gender, race and social status. While some are courageous to acknowledge their condition, others shy away in shame or denial. In this paper, we proposed a “proactive” approach to detecting candidates of depression, anxiety and stress in an unobtrusive manner by tapping into what Malaysians tweet in Malay language. From this preliminary study, we constructed 165 Malay layman terms which describe depression, anxiety or stress as identified in MDASS-42 scale. Since Twitter is an informal platform, construction of Malay layman terms is an essential step to the detection of candidates. Our study on 1,789 Malay tweets discovered 6 Twitter users as potential candidates, having high frequency of tweets with any of the layman terms. We can conclude that using tweets can be useful in unobtrusively detecting candidates of depression, anxiety or stress. This paper also identifies open research areas. Indonesian Journal of Electrical Engineering and Computer Science 2019-11 Article PeerReviewed application/pdf en http://irep.iium.edu.my/79733/13/79733%20Detecting%20candidates%20of%20depression%2C%20anxiety%20and%20stress.pdf application/pdf en http://irep.iium.edu.my/79733/7/79733_Detecting%20candidates%20of%20depression%2C%20anxiety%20and%20stress_scopus.pdf Maskat, Ruhaila and Nasrudin, Muhammad Zahier and Musa, Ramli (2019) Detecting candidates of depression, anxiety and stress through Malay-written tweets: a preliminary study. Indonesian Journal of Electrical Engineering and Computer Science, 16 (2). pp. 787-793. ISSN 2502-4752 E-ISSN 2502-4760 http://ijeecs.iaescore.com/index.php/IJEECS/article/view/19995/13109 10.11591/ijeecs.v16.i2.pp787-793
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 HS Societies secret benevolent etc
RC0321 Neuroscience. Biological psychiatry. Neuropsychiatry
spellingShingle HS Societies secret benevolent etc
RC0321 Neuroscience. Biological psychiatry. Neuropsychiatry
Maskat, Ruhaila
Nasrudin, Muhammad Zahier
Musa, Ramli
Detecting candidates of depression, anxiety and stress through Malay-written tweets: a preliminary study
description Depression, anxiety and stress are not trivial conditions applicable for only the weak-hearted. They can be inflicted by anyone of all age groups, gender, race and social status. While some are courageous to acknowledge their condition, others shy away in shame or denial. In this paper, we proposed a “proactive” approach to detecting candidates of depression, anxiety and stress in an unobtrusive manner by tapping into what Malaysians tweet in Malay language. From this preliminary study, we constructed 165 Malay layman terms which describe depression, anxiety or stress as identified in MDASS-42 scale. Since Twitter is an informal platform, construction of Malay layman terms is an essential step to the detection of candidates. Our study on 1,789 Malay tweets discovered 6 Twitter users as potential candidates, having high frequency of tweets with any of the layman terms. We can conclude that using tweets can be useful in unobtrusively detecting candidates of depression, anxiety or stress. This paper also identifies open research areas.
format Article
author Maskat, Ruhaila
Nasrudin, Muhammad Zahier
Musa, Ramli
author_facet Maskat, Ruhaila
Nasrudin, Muhammad Zahier
Musa, Ramli
author_sort Maskat, Ruhaila
title Detecting candidates of depression, anxiety and stress through Malay-written tweets: a preliminary study
title_short Detecting candidates of depression, anxiety and stress through Malay-written tweets: a preliminary study
title_full Detecting candidates of depression, anxiety and stress through Malay-written tweets: a preliminary study
title_fullStr Detecting candidates of depression, anxiety and stress through Malay-written tweets: a preliminary study
title_full_unstemmed Detecting candidates of depression, anxiety and stress through Malay-written tweets: a preliminary study
title_sort detecting candidates of depression, anxiety and stress through malay-written tweets: a preliminary study
publisher Indonesian Journal of Electrical Engineering and Computer Science
publishDate 2019
url http://irep.iium.edu.my/79733/13/79733%20Detecting%20candidates%20of%20depression%2C%20anxiety%20and%20stress.pdf
http://irep.iium.edu.my/79733/7/79733_Detecting%20candidates%20of%20depression%2C%20anxiety%20and%20stress_scopus.pdf
http://irep.iium.edu.my/79733/
http://ijeecs.iaescore.com/index.php/IJEECS/article/view/19995/13109
_version_ 1665894802842976256
score 13.211869

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