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Predicting Big Five Personality Traits of Microblog Users
Shuotian Bai; Bibo Hao; Ang Li; Sha Yuan; Rui Gao; Tingshao Zhu
2013-11
通讯作者邮箱tszhu@psych.ac.cn
会议名称12th IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology (WI-IAT)
会议录名称2013 IEEE/WIC/ACM INTERNATIONAL JOINT CONFERENCES ON WEB INTELLIGENCE (WI) AND INTELLIGENT AGENT TECHNOLOGIES (IAT)
页码501-508
会议日期NOV 17-20, 2013
会议地点Atlanta, GA
摘要

Personality can be defined as a set of characteristics which makes a person unique. The study of personality is of central importance in psychology. Conventional personality assessment is performed by self-report inventory, which costs much manual efforts and cannot be done in real time. To solve these problems, this research aims to measure the Big-Five personality from the usages of Sina Microblog objectively. By conducting a user study with 444 users, this paper proposes multi-task regression and incremental regression algorithms to predict the Big-Five personality from online behaviors. The results indicate that personality can be predicted with a high accuracy through online Microblog usage.

关键词Personalit Sina Microblogs Regression Prediction Big-five Personality
DOI10.1109/WI-IAT.2013.70
语种英语
引用统计
被引频次:36[WOS]   [WOS记录]     [WOS相关记录]
文献类型会议论文
条目标识符http://ir.psych.ac.cn/handle/311026/26553
专题社会与工程心理学研究室
作者单位Chinese Acad Sci, Inst Psychol, Univ Chinese Acad Sci, Beijing , Peoples R China.
推荐引用方式
GB/T 7714
Shuotian Bai,Bibo Hao,Ang Li,et al. Predicting Big Five Personality Traits of Microblog Users[C],2013:501-508.
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