Deep learning for constructing microblog behavior representation to identify social media user’s personality | |
Xiaoqian Liu; Tingshao Zhu | |
第一作者 | Xiaoqian Liu |
通讯作者邮箱 | liuxiaoqian@psych.ac.cn ; tszhu@psych.ac.cn |
心理所单位排序 | 1 |
其他摘要 | Due to the rapid development of information technology, the Internet has gradually become a part of everyday life. People would like to communicate with friends to share their opinions on social networks. The diverse behavior on socials networks is an ideal reflection of users’ personality traits. Existing behavior analysis methods for personality prediction mostly extract behavior attributes with heuristic analysis. Although they work fairly well, they are hard to extend and maintain. In this paper, we utilize a deep learning algorithm to build a feature learning model for personality prediction, which could perform an unsupervised extraction of the Linguistic Representation Feature Vector (LRFV) activity without supervision from text actively published on the Sina microblog. Compared with other feature extractsion methods, LRFV, as an abstract representation of microblog content, could describe a user’s semantic information more objectively and comprehensively. In the experiments, the personality prediction model is built using a linear regression algorithm, and different attributes obtained through different feature extraction methods are taken as input of the prediction model, respectively. The results show that LRFV performs better in microblog behavior descriptions, and improves the performance of the personality prediction model. |
关键词 | Personality prediction Social media behavior Deep learning Feature learning |
学科领域 | 网络心理学 |
2016 | |
语种 | 英语 |
发表期刊 | PeerJ Computer Science |
期号 | 2页码:e81 |
期刊论文类型 | 实证研究 |
收录类别 | SCI |
WOS分区 | Q3 |
文献类型 | 期刊论文 |
条目标识符 | http://ir.psych.ac.cn/handle/311026/20897 |
专题 | 社会与工程心理学研究室 |
通讯作者 | Xiaoqian Liu; Tingshao Zhu |
作者单位 | Institute of Psychology, Chinese Academy of Sciences, Beijing, China |
第一作者单位 | 中国科学院心理研究所 |
通讯作者单位 | 中国科学院心理研究所 |
推荐引用方式 GB/T 7714 | Xiaoqian Liu,Tingshao Zhu. Deep learning for constructing microblog behavior representation to identify social media user’s personality[J]. PeerJ Computer Science,2016(2):e81. |
APA | Xiaoqian Liu,&Tingshao Zhu.(2016).Deep learning for constructing microblog behavior representation to identify social media user’s personality.PeerJ Computer Science(2),e81. |
MLA | Xiaoqian Liu,et al."Deep learning for constructing microblog behavior representation to identify social media user’s personality".PeerJ Computer Science .2(2016):e81. |
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