摘要
人格是对人类之间不同个体特征的高度概括,与人类的行为密切相关。人们在社交网络中的行为同样受到人格的影响,了解社交网络用户的人格对于推荐系统和个性化广告都有很大的价值。已有的关于社交网络用户人格的研究大多仅使用用户数据的统计特征,没有反映用户数据的内在特征。本文提出一种新的社交网络用户人格预测方法,通过综合考虑用户的情感及用户网络分析特征预测用户人格类型,并通过Facebook用户数据分析实验验证了方法对提高人格预测准确率的有效性。
Personality can be defined as a set of characteristics which make a person unique. People＇s behavior is closely related to personality. Personality affects individual＇s behavior in social networking sites as well as in the offline world. Gaining insight in an individual＇s personality can be very valuable for recommender system and personalized advertising. Most of previous studies on the personality of social network users only focus on the statistical characteristics,which cannot reflect the inner properties of user. This paper proposes a new method to predicting personality based on sentiment analysis and network analysis. The validity of the method to improving the precision of prediction is verified by the experiment on Facebook data.
出处
《智能计算机与应用》
2016年第1期50-54,共5页
Intelligent Computer and Applications
关键词
社交网络
情感分析
网络分析
人格预测
social network
sentiment analysis
network analysis
personality predicting
