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Using Linguistic Features to Estimate Suicide Probability of Chinese Microblog Users
Zhang, L (Zhang, Lei)1,2; Huang, XL (Huang, Xiaolei)3; Liu, TL (Liu, Tianli)4; Li, A (Li, Ang)5; Chen, ZX (Chen, Zhenxiang)2; Zhu, TS (Zhu, Tingshao)1,6
First AuthorZhang, L (Zhang, Lei)
2015
Conference Name1st International Conference on Human Centered Computing (HCC)
Correspondent Emailczx@ujn.edu.cn ; tszhu@psych.ac.cn
Source PublicationLecture Notes in Computer Science
Volume8944
Pages549-559
Conference DateNOV 27-29, 2014
Conference PlacePhnom Penh, CAMBODIA
Abstract

If people with high risk of suicide can be identified through social media like microblog, it is possible to implement an active intervention system to save their lives. Based on this motivation, the current study administered the Suicide Probability Scale(SPS) to 1041 weibo users at Sina Weibo, which is a leading microblog service provider in China. Two NLP (Natural Language Processing) methods, the Chinese edition of Linguistic Inquiry andWord Count (LIWC) lexicon and Latent Dirichlet Allocation (LDA), are used to extract linguistic features from the Sina Weibo data. We trained predicting models by machine learning algorithm based on these two types of features, to estimate suicide probability based on linguistic features. The experiment results indicate that LDA can find topics that relate to suicide probability, and improve the performance of prediction. Our study adds value in prediction of suicidal probability of social network users with their behaviors.

KeywordSuicidal Ideation Topic Model Liwc Linguistic Features Microblog
DOI10.1007/978-3-319-15554-8_45
Language英语
Citation statistics
Document Type会议论文
Identifierhttp://ir.psych.ac.cn/handle/311026/26771
Collection社会与工程心理学研究室
Affiliation1.Chinese Acad Sci, Inst Psychol, Beijing 100101, Peoples R China
2.Univ Jinan, Jinan 250022, Shandong, Peoples R China
3.Chinese Acad Sci, China Networking Informat Ctr, Beijing, Peoples R China
4.Peking Univ, Inst Populat Res, Beijing 100871, Peoples R China
5.Univ New S Wales, Black Dog Inst, Sydney, NSW 2031, Australia
6.Chinese Acad Sci, Inst Comp Technol, Key Lab Intelligent Informat Proc, Beijing, Peoples R China
Recommended Citation
GB/T 7714
Zhang, L ,Huang, XL ,Liu, TL ,et al. Using Linguistic Features to Estimate Suicide Probability of Chinese Microblog Users[C],2015:549-559.
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