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

Author

Jane H. K. SEAH, Singapore Management UniversityFollow
Kyong Jin SHIM, Singapore Management UniversityFollow

Publication Type

Conference Proceeding Article

Version

acceptedVersion

Publication Date

12-2018

Abstract

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.

Keywords

suicide, suicide detection, social media, data mining

Discipline

Databases and Information Systems | Numerical Analysis and Scientific Computing | Social Media

Research Areas

Data Science and Engineering

Publication

2018 IEEE International Conference on Big Data (Big Data): Seattle, WA, December 10-13: Proceedings

First Page

5442

Last Page

5444

ISBN

9781538650356

Identifier

10.1109/BigData.2018.8622528

Publisher

IEEE Computer Society

City or Country

Los Alamitos, CA

Citation

SEAH, Jane H. K. and SHIM, Kyong Jin. Data mining approach to the detection of suicide in social media: A case study of Singapore. (2018). 2018 IEEE International Conference on Big Data (Big Data): Seattle, WA, December 10-13: Proceedings. 5442-5444.
Available at: https://ink.library.smu.edu.sg/sis_research/4340

Copyright Owner and License

Authors

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.

Additional URL

https://doi.org/10.1109/BigData.2018.8622528