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Writing style and word usage in detecting depression in social media: A review

In today’s digital age, social media have become the most common channel for individuals to express their opinions and feelings. As common as this, the extensive usage of social media has also been associated with mental illnesses such as anxiety, suicidality and depression. The digital traces the i...

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Main Authors: Zulkarnain, Nur Zareen, Abdullah, Norida, Basiron, Halizah
Format: Article
Language:English
Published: Little Lion Scientific 2020
Online Access:http://eprints.utem.edu.my/id/eprint/25137/2/ARTIKEL%20SCOPUS-%20PJP%20NURZAREEN.PDF
http://eprints.utem.edu.my/id/eprint/25137/
http://www.jatit.org/volumes/Vol98No1/11Vol98No1.pdf
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spelling my.utem.eprints.251372023-07-12T08:48:21Z http://eprints.utem.edu.my/id/eprint/25137/ Writing style and word usage in detecting depression in social media: A review Zulkarnain, Nur Zareen Abdullah, Norida Basiron, Halizah In today’s digital age, social media have become the most common channel for individuals to express their opinions and feelings. As common as this, the extensive usage of social media has also been associated with mental illnesses such as anxiety, suicidality and depression. The digital traces the individuals left provide insights into not just their daily life but also on their health and mental state. This allows for various prediction and preliminary diagnosis to be made. The advancement of research in the Natural Language Processing (NLP) field has allowed researchers to understand individuals based on texts they shared in their social media account. This paper reviews the techniques and methods used in detecting depression from social media texts where emphasis are being placed on the writing style and the word usage of the social media users. Writing styles and choices of words have been seen as a possible indicator in detecting depression from social media texts. Various methods and platforms have been adopted to investigate the effectiveness of detecting depression based on these two components. This paper discusses these methods and techniques as well as the areas where improvements can be made Little Lion Scientific 2020-01-15 Article PeerReviewed text en http://eprints.utem.edu.my/id/eprint/25137/2/ARTIKEL%20SCOPUS-%20PJP%20NURZAREEN.PDF Zulkarnain, Nur Zareen and Abdullah, Norida and Basiron, Halizah (2020) Writing style and word usage in detecting depression in social media: A review. Journal of Theoretical and Applied Information Technology, 98 (1). 124 - 135. ISSN 1992-8645 http://www.jatit.org/volumes/Vol98No1/11Vol98No1.pdf
institution Universiti Teknikal Malaysia Melaka
building UTEM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknikal Malaysia Melaka
content_source UTEM Institutional Repository
url_provider http://eprints.utem.edu.my/
language English
description In today’s digital age, social media have become the most common channel for individuals to express their opinions and feelings. As common as this, the extensive usage of social media has also been associated with mental illnesses such as anxiety, suicidality and depression. The digital traces the individuals left provide insights into not just their daily life but also on their health and mental state. This allows for various prediction and preliminary diagnosis to be made. The advancement of research in the Natural Language Processing (NLP) field has allowed researchers to understand individuals based on texts they shared in their social media account. This paper reviews the techniques and methods used in detecting depression from social media texts where emphasis are being placed on the writing style and the word usage of the social media users. Writing styles and choices of words have been seen as a possible indicator in detecting depression from social media texts. Various methods and platforms have been adopted to investigate the effectiveness of detecting depression based on these two components. This paper discusses these methods and techniques as well as the areas where improvements can be made
format Article
author Zulkarnain, Nur Zareen
Abdullah, Norida
Basiron, Halizah
spellingShingle Zulkarnain, Nur Zareen
Abdullah, Norida
Basiron, Halizah
Writing style and word usage in detecting depression in social media: A review
author_facet Zulkarnain, Nur Zareen
Abdullah, Norida
Basiron, Halizah
author_sort Zulkarnain, Nur Zareen
title Writing style and word usage in detecting depression in social media: A review
title_short Writing style and word usage in detecting depression in social media: A review
title_full Writing style and word usage in detecting depression in social media: A review
title_fullStr Writing style and word usage in detecting depression in social media: A review
title_full_unstemmed Writing style and word usage in detecting depression in social media: A review
title_sort writing style and word usage in detecting depression in social media: a review
publisher Little Lion Scientific
publishDate 2020
url http://eprints.utem.edu.my/id/eprint/25137/2/ARTIKEL%20SCOPUS-%20PJP%20NURZAREEN.PDF
http://eprints.utem.edu.my/id/eprint/25137/
http://www.jatit.org/volumes/Vol98No1/11Vol98No1.pdf
_version_ 1772816020100087808
score 13.211869

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