Digital twin models are computerized clones of physical assets or systems and have
attracted much attention from academia and industries. Digital twin applications focus on …

Recently, personality detection based on texts from online social networks has attracted
more and more attentions. However, most related models are based on letter, word or …

The automatic recognition of personality traits from texts has attracted significant attention.
Existing studies typically combine linguistic feature engineering with traditional models, use …

The World Health Organization (WHO) added Disease X to their shortlist of blueprint priority
diseases to represent a hypothetical, unknown pathogen that could cause a future epidemic …

针对社交网络用户人格预测问题, 提出一种结合信息增益与语义特征提炼用户文本信息,
并采用多标签分类算法进行综合预测的方法. 先基于信息增益提取文本词特征, 包括情感词 …

Consumer's personality traits have a strong influence on their shopping behavior. Hence, e-
tailers, rather than merely targeting broad consumer segments, should tailor their shop to …

The widespread prevalence of Web browsing may lead to Internet Addiction Disorder (IAD),
which impacts negatively on Web users' general health. Young people who are very active …

Purpose The purpose of this paper is to assess the influence of personality traits on
perception and acceptance of open access (OA) mode of publishing by the author …

This paper discusses issues related to the big data in Computational CyberPsychology, and
proposes to utilize Parallel Coordinates, an famous method in the field of information …

In this thesis the behaviour of online social network users is examined, with a particular
focus on user activities that preserve or compromise personal privacy. A two-fold approach …