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Deep learning for constructing microblog behavior representation to identify social media user’s personality
Xiaoqian Liu; Tingshao Zhu
First AuthorXiaoqian Liu
2016
Source PublicationPeerJ Computer Science
Correspondent Emailliuxiaoqian@psych.ac.cn ; tszhu@psych.ac.cn
SubtypeArticle
Issue2Pages:e81
Contribution Rank1
Other Abstract

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.

KeywordPersonality prediction Social media behavior Deep learning Feature learning
Subject Area网络心理学
Indexed By其他
Language英语
Document Type期刊论文
Identifierhttp://ir.psych.ac.cn/handle/311026/20897
Collection社会与工程心理学研究室
Corresponding AuthorXiaoqian Liu; Tingshao Zhu
AffiliationInstitute of Psychology, Chinese Academy of Sciences, Beijing, China
First Author AffilicationInstitute of Psychology, Chinese Academy of Sciences
Corresponding Author AffilicationInstitute of Psychology, Chinese Academy of Sciences
Recommended Citation
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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