Investigation of College Students' Mental Health Status via Semantic Analysis of Sina Microblog

作     者：LIANG Xiaohui GU Siqi DENG Jiayuan GAO Zhaixing ZHANG Zhonghua SHEN Dezhong 

作者机构：School of Public Health Wuhan University Global Health Institute Wuhan University School of Computer Wuhan University 

出 版 物：《Wuhan University Journal of Natural Sciences》 (武汉大学学报（自然科学英文版）)

年 卷 期：2015年第20卷第2期

页      面：159-164页

核心收录：

学科分类：0402[教育学-心理学(可授教育学、理学学位）] 040202[教育学-发展与教育心理学] 04[教育学] 081203[工学-计算机应用技术] 08[工学] 0835[工学-软件工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：Supported by the Natural Science Foundation of Hubei Province(2013CFB292) 

主　　题：college students big data Sina microblog mental health ontology 

摘      要：The objective of this study is to understand the current mental status of college students in China s Mainland. In this study, 60 thousand college students＇ microblog content from January 2014 to June 2014 was collected. An emotional energy level, which was developed by a psychologist David R Hawkins, was taken as a basis for ontology database to divide the student＇s emotion into three parts--positive, negative and neutral status. An ontology-based semantic analysis method was used to analyze the microblog data. The result shows that 46.38% of Sina microblog data reflects positive psychological status, and the ratios of neutral and negative psychological status are 19.77% and 33.85%, respectively. It means that almost one third microblog reflects some negative mentality. The semantic analysis of the big data suggests that most students have healthy mental status, and the negative status of the students should not be ignored.