Personality Prediction for Microblog Users with Active Learning Method

被引：1

作者：

Liu, Xiaoqian ^{[1
]}

Nie, Dong ^{[2
]}

Bai, Shuotian ^{[2
]}

Hao, Bibo ^{[2
]}

Zhu, Tingshao ^{[1
]}

机构：

[1] Chinese Acad Sci, Inst Psychol, Beijing 100101, Peoples R China

[2] Univ Chinese Acad Sci, Beijing, Peoples R China

来源：

HUMAN CENTERED COMPUTING, HCC 2014 | 2015年 / 8944卷

关键词：

Active learning; Personality; Online behavior; REGRESSION;

D O I：

10.1007/978-3-319-15554-8_4

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Personality research on social media is a hot topic recently due to the rapid development of social medias well as the central importance of personality in psychology, but it is hard to acquire adequate appropriate labeled samples. Our research aims to choose the right users to be labeled to improve the accuracy of predicting. a few labeled users, the task is to predict personality of other unlabeled users Given a set of Microblog users' public information (e.g., number of followers) and. The active learning regression algorithm has been employed to establish predicting model in this paper, and the experimental results demonstrate our method can fairly well predict the personality of Microblog users.

引用

页码：41 / 54

页数：14

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