版权说明 操作指南
首页 > 成果 > 详情

Linguistic Analysis for Identifying Depression and Subsequent Suicidal Ideation on Weibo: Machine Learning Approaches

认领
导出
Link by DOI
反馈
分享
QQ微信 微博
成果类型:
期刊论文
作者:
Xianbin Wang;Wei Pan*;Bowen Hang;Wenwei Zhou;Liwen Guo
通讯作者:
Wei Pan
作者机构:
These authors contributed equally to this work.
Key Laboratory of Adolescent Cyberpsychology and Behavior (CCNU), Ministry of Education, Wuhan 430079, China
Key Laboratory of Human Development and Mental Health of Hubei Province, Wuhan 430079, China
School of Psychology, Central China Normal University, Wuhan 430079, China
Author to whom correspondence should be addressed.
通讯机构:
[Wei Pan] T
These authors contributed equally to this work.<&wdkj&>Key Laboratory of Adolescent Cyberpsychology and Behavior (CCNU), Ministry of Education, Wuhan 430079, China<&wdkj&>Key Laboratory of Human Development and Mental Health of Hubei Province, Wuhan 430079, China<&wdkj&>School of Psychology, Central China Normal University, Wuhan 430079, China<&wdkj&>Author to whom correspondence should be addressed.
语种:
英文
关键词:
depression;suicidal ideation;linguistic analysis;regression;topic modeling;Weibo
期刊:
International Journal of Environmental Research and Public Health
ISSN:
1661-7827
年:
2023
卷:
20
期:
3
页码:
2688-
基金类别:
This research was funded by the Fundamental Research Funds for the Central Universities (CCNU21XJ021), Knowledge Innovation Program of Wuhan-Shuguang Project (2022020801020288), and the Research Program Funds of the Collaborative Innovation Center of Assessment toward Basic Education Quality (2022-04-030-BZPK01).
机构署名:
本校为第一且通讯机构
院系归属:
心理学院
摘要:
Depression is one of the most common mental illnesses but remains underdiagnosed. Suicide, as a core symptom of depression, urgently needs to be monitored at an early stage, i.e., the suicidal ideation (SI) stage. Depression and subsequent suicidal ideation should be supervised on social media. In this research, we investigated depression and concomitant suicidal ideation by identifying individuals’ linguistic characteristics through machine learning approaches. On Weibo, we sampled 487,251 posts from 3196 users from the depression super topic...

反馈

验证码:
看不清楚,换一个
确定
取消

成果认领

标题:
用户 作者 通讯作者
请选择
请选择
确定
取消

提示

该栏目需要登录且有访问权限才可以访问

如果您有访问权限,请直接 登录访问

如果您没有访问权限,请联系管理员申请开通

管理员联系邮箱:yun@hnwdkj.com