摘要
为了及时捕捉大学生的负面情绪倾向,预测其心理健康程度,提出了大数据背景下基于用户画像的高校图书馆阅读疗法新模式。该模式首先在How Net词典的基础上扩充了情绪词典,然后根据情绪词典分析大学生读者的网络情绪,构建用户情绪画像。根据获取的负面情绪倾向,及时发现潜在患者并实施阅读疗法。基于用户画像的高校图书馆阅读疗法模式契合了中医"治未病"的原理,便于把握诊疗时机,为新时代阅读疗法的工作实践提供有益参考。
A new user profile-based bibliotherapy model was established for the college and university undergraduates in the big data background in order to capture their negative emotion tendency and predict their mental health. The emotion dictionary was expanded in this model on the basis of How Net dictionary, and a user emotion profile was plotted. The potential patients discovered according to their negative emotion tendency underwent bibliothrapy. The user profile-based bibliotherapy model in academic library confirming to the theory for ＂preventive treatment of disease＂ helps to seize the opportunity of disease diagnosis and treatment, and can thus provide certain beneficial reference for bibliotherapy in the new era.
作者
刘丹
张兴刚
任淑敏
LIU Dan;ZHANG Xing-gang;REN Shu-min(Library of Jining Medical College,Jining 272067,Shandong Province,China)
出处
《中华医学图书情报杂志》
CAS
2018年第7期68-71,共4页
Chinese Journal of Medical Library and Information Science
基金
山东省高等学校人文社会科学计划项目"‘互联网+’时代下医学院校图书馆阅读疗法促进医学生心理健康研究"(J17RB229)的研究成果之一
关键词
用户画像
阅读疗法
大数据
情绪分析
User profile
Bibliotherapy
Big data
Emotion analysis
