Institutional Repository, Institute of Psychology, Chinese Academy of Sciences
Inferring gender of micro-blog users based on multi-classifiers fusion | |
Zheng, Jinghua1; Guo, Shize2; Gao, Liang2; Xue, Di3; Zhao, Nan4![]() | |
第一作者 | Zheng, Jinghua |
通讯作者邮箱 | zhengjh1001@163.com |
心理所单位排序 | 4 |
摘要 | Knowing user demographic traits offers a great potential for public information. Most researches have used local features to predict user demographic traits. Since this method did not make the most of user global features, the prediction performance was low. In this paper, our goal tries to use an ensemble learning method to improve the prediction performance through multi-classifiers fusion. Our work makes three important contributions. Firstly, we show how to predict Sina Micro-blog users' genders based on his/her text published on the social network. Secondly, we show that user's personality traits can also be used to infer gender. And last and thirdly, we propose multi-classifiers fusion to predict users' genders, and give the experimental results that validate our method by comparing it with a different local features dataset. Our experiment demonstrates that our method can improve the accuracy rate, the recall rate of prediction, and the F value. © 2018 Totem Publisher, Inc. All rights reserved. |
关键词 | Sina micro-blog gender prediction multi-classifiers fusion prediction accuracy |
学科领域 | Blogs - Classification (Of Information) - Population Statistics |
2018-02-01 | |
语种 | 英语 |
DOI | 10.23940/ijpe.18.02.p16.349356 |
发表期刊 | International Journal of Performability Engineering
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ISSN | 09731318 |
卷号 | 14期号:2页码:349-356 |
期刊论文类型 | article |
URL | 查看原文 |
收录类别 | EI |
出版者 | Totem Publishers Ltd |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | https://ir.psych.ac.cn/handle/311026/27764 |
专题 | 中国科学院心理研究所 |
作者单位 | 1.Hefei Electronic Engineering Institute, Hefei; 230037, China; 2.Institute of North Electronic Equipment, Beijing; 100083, China; 3.Army Engineering University, Nanjing; 210007, China; 4.CAS Institute of Psychology, Beijing; 100101, China |
推荐引用方式 GB/T 7714 | Zheng, Jinghua,Guo, Shize,Gao, Liang,et al. Inferring gender of micro-blog users based on multi-classifiers fusion[J]. International Journal of Performability Engineering,2018,14(2):349-356. |
APA | Zheng, Jinghua,Guo, Shize,Gao, Liang,Xue, Di,Zhao, Nan,&Ma, Huimin.(2018).Inferring gender of micro-blog users based on multi-classifiers fusion.International Journal of Performability Engineering,14(2),349-356. |
MLA | Zheng, Jinghua,et al."Inferring gender of micro-blog users based on multi-classifiers fusion".International Journal of Performability Engineering 14.2(2018):349-356. |
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