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Inferring gender of micro-blog users based on multi-classifiers fusion
Zheng, Jinghua1; Guo, Shize2; Gao, Liang2; Xue, Di3; Zhao, Nan4; Ma, Huimin1
First AuthorZheng, Jinghua
2018-02-01
Source PublicationInternational Journal of Performability Engineering
Correspondent Emailzhengjh1001@163.com
ISSN09731318
Subtypearticle
Volume14Issue:2Pages:349-356
Contribution Rank4
AbstractKnowing 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.
KeywordSina micro-blog gender prediction multi-classifiers fusion prediction accuracy
Subject AreaBlogs - Classification (Of Information) - Population Statistics
MOST Discipline CatalogueForecasting
DOI10.23940/ijpe.18.02.p16.349356
URL查看原文
Indexed ByEI
Language英语
PublisherTotem Publishers Ltd
Citation statistics
Document Type期刊论文
Identifierhttp://ir.psych.ac.cn/handle/311026/27764
Collection中国科学院心理研究所
Affiliation1.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
Recommended Citation
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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