Data Mining Approach to the Detection of Suicide in Social Media: A Case Study of Singapore

被引:0
作者
Seah, Jane H. K. [1 ]
Shim, Kyong Jin [1 ]
机构
[1] Singapore Management Univ, Sch Informat Syst, Singapore, Singapore
来源
2018 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA) | 2018年
关键词
suicide; suicide detection; social media; data mining;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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.
引用
收藏
页码:5442 / 5444
页数:3
相关论文
共 8 条
  • [1] [Anonymous], 2018, SITUATION SINGAPORE
  • [2] [Anonymous], 2018, Suicide data
  • [3] Latent Dirichlet allocation
    Blei, DM
    Ng, AY
    Jordan, MI
    [J]. JOURNAL OF MACHINE LEARNING RESEARCH, 2003, 3 (4-5) : 993 - 1022
  • [4] Fun P., LONELY 12 YEAR OLD G
  • [5] Tracking Suicide Risk Factors Through Twitter in the US
    Jashinsky, Jared
    Burton, Scott H.
    Hanson, Carl L.
    West, Josh
    Giraud-Carrier, Christophe
    Barnes, Michael D.
    Argyle, Trenton
    [J]. CRISIS-THE JOURNAL OF CRISIS INTERVENTION AND SUICIDE PREVENTION, 2014, 35 (01) : 51 - 59
  • [6] PRAW, PRAW PYTHON REDDIT A
  • [7] Rashith R., 2018, NUMBER SUICIDES COMM
  • [8] Taylor D., SUICIDE PRODUCT MODE