Data mining approach to the detection of suicide in social media: A case study of Singapore

In this research, we focus on the social phenomenon of suicide. Specifically, we perform social sensing on digital traces obtained from Reddit. We analyze the posts and comments in that are related to depression and suicide. We perform natural language processing to better understand different aspec...

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Main Authors:	SEAH, Jane H. K., SHIM, Kyong Jin
Format:	text
Language:	English
Published:	Institutional Knowledge at Singapore Management University 2018
Subjects:	suicide suicide detection social media data mining Databases and Information Systems Numerical Analysis and Scientific Computing Social Media
Online Access:	https://ink.library.smu.edu.sg/sis_research/4340 https://ink.library.smu.edu.sg/context/sis_research/article/5343/viewcontent/DM_Suicide_SocialMedia_2018_av.pdf
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Institution:	Singapore Management University
Language:	English

id	sg-smu-ink.sis_research-5343
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spelling	sg-smu-ink.sis_research-53432021-06-03T08:45:20Z Data mining approach to the detection of suicide in social media: A case study of Singapore SEAH, Jane H. K. SHIM, Kyong Jin In this research, we focus on the social phenomenon of suicide. Specifically, we perform social sensing on digital traces obtained from Reddit. We analyze the posts and comments in that are related to depression and suicide. We perform natural language processing to better understand different aspects of human life that relate to suicide. 2018-12-01T08:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/4340 info:doi/10.1109/BigData.2018.8622528 https://ink.library.smu.edu.sg/context/sis_research/article/5343/viewcontent/DM_Suicide_SocialMedia_2018_av.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University suicide suicide detection social media data mining Databases and Information Systems Numerical Analysis and Scientific Computing Social Media
institution	Singapore Management University
building	SMU Libraries
continent	Asia
country	Singapore Singapore
content_provider	SMU Libraries
collection	InK@SMU
language	English
topic	suicide suicide detection social media data mining Databases and Information Systems Numerical Analysis and Scientific Computing Social Media
spellingShingle	suicide suicide detection social media data mining Databases and Information Systems Numerical Analysis and Scientific Computing Social Media SEAH, Jane H. K. SHIM, Kyong Jin Data mining approach to the detection of suicide in social media: A case study of Singapore
description	In this research, we focus on the social phenomenon of suicide. Specifically, we perform social sensing on digital traces obtained from Reddit. We analyze the posts and comments in that are related to depression and suicide. We perform natural language processing to better understand different aspects of human life that relate to suicide.
format	text
author	SEAH, Jane H. K. SHIM, Kyong Jin
author_facet	SEAH, Jane H. K. SHIM, Kyong Jin
author_sort	SEAH, Jane H. K.
title	Data mining approach to the detection of suicide in social media: A case study of Singapore
title_short	Data mining approach to the detection of suicide in social media: A case study of Singapore
title_full	Data mining approach to the detection of suicide in social media: A case study of Singapore
title_fullStr	Data mining approach to the detection of suicide in social media: A case study of Singapore
title_full_unstemmed	Data mining approach to the detection of suicide in social media: A case study of Singapore
title_sort	data mining approach to the detection of suicide in social media: a case study of singapore
publisher	Institutional Knowledge at Singapore Management University
publishDate	2018
url	https://ink.library.smu.edu.sg/sis_research/4340 https://ink.library.smu.edu.sg/context/sis_research/article/5343/viewcontent/DM_Suicide_SocialMedia_2018_av.pdf
_version_	1770574659903815680

Data mining approach to the detection of suicide in social media: A case study of Singapore

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