Publication:
Understanding Depression Detection Using Social Media

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dc.citedby2
dc.contributor.authorLatif A.A.en_US
dc.contributor.authorCob Z.C.en_US
dc.contributor.authorDrus S.M.en_US
dc.contributor.authorAnwar R.M.en_US
dc.contributor.authorRadzi H.M.en_US
dc.contributor.authorid46461488000en_US
dc.contributor.authorid25824919900en_US
dc.contributor.authorid56330463900en_US
dc.contributor.authorid24721188400en_US
dc.contributor.authorid57211279880en_US
dc.date.accessioned2023-05-29T09:38:15Z
dc.date.available2023-05-29T09:38:15Z
dc.date.issued2022
dc.descriptionData mining; Deep learning; Diseases; Depression factor; Depression symptom; Depressive symptom; Mental health; Mental illness; Social media; Social medium mental health; Textual data; Social networking (online)en_US
dc.description.abstractThe social media is used in expressing thoughts as an act of finding release of minds and sharing social experience through digital manners. This has generated a plethora amount of data through the utilization of social media, where the data is categorized in multiple and different format. Posting made by social media users may include depressed patients where their data could be used in discovering cues or features of the mental illness. Researchers applied different techniques in using social media to discover the depression manners such as data mining, deep learning, and machine learning. Earlier studies have discovered factors that exhibits traits of depressed people by analysing the data from social media postings. This has helped to detect the depressive symptoms in individuals using textual data. The outcome of this paper is to review previous studies and evaluate the factors used to detect depression from the social media. � 2021 IEEE.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1109/ICRAIE52900.2021.9703977
dc.identifier.scopus2-s2.0-85136494618
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85136494618&doi=10.1109%2fICRAIE52900.2021.9703977&partnerID=40&md5=0f4d6c993d151947b9782b40f0f1d661
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/26970
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.sourceScopus
dc.sourcetitle2021 6th IEEE International Conference on Recent Advances and Innovations in Engineering, ICRAIE 2021
dc.titleUnderstanding Depression Detection Using Social Mediaen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
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