PSYCH OpenIR  > 社会与工程心理学研究室
Predicting Active Users' Personality Based on Micro-Blogging Behaviors
Li, Lin1,2; Li, Ang1,2; Hao, Bibo1,2; Guan, Zengda1,2; Zhu, Tingshao1
2014-01-22
发表期刊PLOS ONE
ISSN1932-6203
文章类型Article
卷号9期号:1页码:1-11
摘要Because of its richness and availability, micro-blogging has become an ideal platform for conducting psychological research. In this paper, we proposed to predict active users' personality traits through micro-blogging behaviors. 547 Chinese active users of micro-blogging participated in this study. Their personality traits were measured by the Big Five Inventory, and digital records of micro-blogging behaviors were collected via web crawlers. After extracting 845 micro-blogging behavioral features, we first trained classification models utilizing Support Vector Machine (SVM), differentiating participants with high and low scores on each dimension of the Big Five Inventory. The classification accuracy ranged from 84% to 92%. We also built regression models utilizing PaceRegression methods, predicting participants' scores on each dimension of the Big Five Inventory. The Pearson correlation coefficients between predicted scores and actual scores ranged from 0.48 to 0.54. Results indicated that active users' personality traits could be predicted by micro-blogging behaviors.
收录类别SCI
语种英语
WOS记录号WOS:000330283100019
引用统计
被引频次:91[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.psych.ac.cn/handle/311026/13443
专题社会与工程心理学研究室
作者单位1.Chinese Acad Sci, Inst Psychol, Beijing 100101, Peoples R China
2.Univ Chinese Acad Sci, Sch Comp & Control, Beijing, Peoples R China
推荐引用方式
GB/T 7714
Li, Lin,Li, Ang,Hao, Bibo,et al. Predicting Active Users' Personality Based on Micro-Blogging Behaviors[J]. PLOS ONE,2014,9(1):1-11.
APA Li, Lin,Li, Ang,Hao, Bibo,Guan, Zengda,&Zhu, Tingshao.(2014).Predicting Active Users' Personality Based on Micro-Blogging Behaviors.PLOS ONE,9(1),1-11.
MLA Li, Lin,et al."Predicting Active Users' Personality Based on Micro-Blogging Behaviors".PLOS ONE 9.1(2014):1-11.
条目包含的文件
文件名称/大小 文献类型 版本类型 开放类型 使用许可
WOS_000330283100019.(4004KB)期刊论文出版稿暂不开放CC BY-NC-SA请求全文
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Li, Lin]的文章
[Li, Ang]的文章
[Hao, Bibo]的文章
百度学术
百度学术中相似的文章
[Li, Lin]的文章
[Li, Ang]的文章
[Hao, Bibo]的文章
必应学术
必应学术中相似的文章
[Li, Lin]的文章
[Li, Ang]的文章
[Hao, Bibo]的文章
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。