An Analysis of the Discourse Topics of Users who Exhibit Symptoms of Depression on Social Media (소셜미디어를 통한 우울 경향 이용자 담론 주제 분석)

Harim Seo (서하림); Min Song (송민)

doi:10.3743/KOSIM.2019.36.4.207

An Analysis of the Discourse Topics of Users who Exhibit Symptoms of Depression on Social Media

Journal of the Korean Society for Information Management
Abbr : JKOSIM
2019, 36(4), pp.207~226
DOI : 10.3743/KOSIM.2019.36.4.207
Publisher : 한국정보관리학회
Research Area : Interdisciplinary Studies > Library and Information Science
Received : November 17, 2019
Accepted : December 19, 2019
Published : December 30, 2019

Harim Seo ¹, Min Song ²

¹연세대학교 문헌정보학과
²연세대학교

Accredited

ABSTRACT

Depression is a serious psychological disease that is expected to afflict an increasing number of people. And studies on depression have been conducted in the context of social media because social media is a platform through which users often frankly express their emotions and often reveal their mental states. In this study, large amounts of Korean text were collected and analyzed to determine whether such data could be used to detect depression in users. This study analyzed data collected from Twitter users who had and did not have depressive tendencies between January 2016 and February 2019. The data for each user was separately analyzed before and after the appearance of depressive tendencies to see how their expression changed. In this study the data were analyzed through co-occurrence word analysis, topic modeling, and sentiment analysis. This study’s automated data collection method enabled analyses of data collected over a relatively long period of time. Also it compared the textual characteristics of users with depressive tendencies to those without depressive tendencies.

KEYWORDS

social media, text mining, twitter, depression, topic model, co-occurrence, sentiment analysis

Citation status

* References for papers published after 2023 are currently being built.

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Journal of the Korean Society for Information Management 2023 KCI Impact Factor : 1.31

An Analysis of the Discourse Topics of Users who Exhibit Symptoms of Depression on Social Media

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KEYWORDS

Citation status

* References for papers published after 2023 are currently being built.

Journal of the Korean Society for Information Management 2023 KCI Impact Factor : 1.31

An Analysis of the Discourse Topics of Users who Exhibit Symptoms of Depression on Social Media

ABSTRACT

KEYWORDS

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* References for papers published after 2023 are currently being built.