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

• 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

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.