基于微博的人格分类模型  

Personality Classification Model Based on Micro-Blog

作　　者：冯豆豆 FENG Dou-dou(College of Computer Science,Sichuan University,Chengdu 610065)

机构地区：[1]四川大学计算机学院,成都610065

出　　处：《现代计算机》2019年第8期29-33,共5页Modern Computer

摘　　要：语言学家认为个体的写作习惯可以反映出个体人格。随着网络和移动设备的普及,越来越多的用户使用微博记录个人生活,这些微博内容记录用户真实、长期的心理活动,为人格分类提供理想的数据。人格分类是指通过分析用户行为数据来判断用户的人格属于哪种类型。根据William的全特质理论,提出一种用于人格分类的新的情感特征,提高现有基于微博数据的人格分类的准确率。Linguists believe that the way one writing reflects his personality. With the development of internet and mobile devices, more and more people record life by weblog, these weblogs reveal their psychological activities, and that is appropriate for personality computing. Personality classification predict one's personality by analyzing their behavior, and that can be used in many fields. Introduces new features based on William's Whole trait theory, and the precision of this model is more high than other study.

关 键 词：微博数据 人格分类 大五模型 

分 类 号：TP391.1[自动化与计算机技术—计算机应用技术]