Predicting users' age range in micro-blog network

Chengyu Wang; Bing Xiao; Xiang Li; Jiawen Zhu; Xiaofeng He; Rong Zhang

doi:10.1007/978-3-642-41230-1_46

Predicting users' age range in micro-blog network

Chengyu Wang, Bing Xiao, Xiang Li, Jiawen Zhu, Xiaofeng He, Rong Zhang

East China Normal University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

In this report, we present our work on WISE 2013 Challenge Track II to predict the age range of Weibo users. In this challenge, a dataset consisting of Sina Weibo user information was presented. The goal of the challenge is to predict users age range. With personal information and original tweets for over one million users as training data, we analyze and process the dataset, and experiment a series of prediction methods including SVM, decision tree etc. The result shows that ensemble classifiers based on AdaBoost achieves the best prediction results in this challenge.

Original language	English
Title of host publication	Web Information Systems Engineering, WISE 2013 - 14th International Conference, Proceedings
Pages	516-521
Number of pages	6
Edition	PART 1
DOIs	https://doi.org/10.1007/978-3-642-41230-1_46
State	Published - 2013
Event	14th International Conference on Web Information Systems Engineering, WISE 2013 - Nanjing, China Duration: 13 Oct 2013 → 15 Oct 2013

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 1
Volume	8180 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	14th International Conference on Web Information Systems Engineering, WISE 2013
Country/Territory	China
City	Nanjing
Period	13/10/13 → 15/10/13

Keywords

AdaBoost
WISE challenge
classification

Access to Document

10.1007/978-3-642-41230-1_46

Cite this

Wang, C., Xiao, B., Li, X., Zhu, J., He, X., & Zhang, R. (2013). Predicting users' age range in micro-blog network. In Web Information Systems Engineering, WISE 2013 - 14th International Conference, Proceedings (PART 1 ed., pp. 516-521). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8180 LNCS, No. PART 1). https://doi.org/10.1007/978-3-642-41230-1_46

@inproceedings{7066734d23a8423d9a5c8071b905ed18,

title = "Predicting users' age range in micro-blog network",

abstract = "In this report, we present our work on WISE 2013 Challenge Track II to predict the age range of Weibo users. In this challenge, a dataset consisting of Sina Weibo user information was presented. The goal of the challenge is to predict users age range. With personal information and original tweets for over one million users as training data, we analyze and process the dataset, and experiment a series of prediction methods including SVM, decision tree etc. The result shows that ensemble classifiers based on AdaBoost achieves the best prediction results in this challenge.",

keywords = "AdaBoost, WISE challenge, classification",

author = "Chengyu Wang and Bing Xiao and Xiang Li and Jiawen Zhu and Xiaofeng He and Rong Zhang",

year = "2013",

doi = "10.1007/978-3-642-41230-1\_46",

language = "英语",

isbn = "9783642412295",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

number = "PART 1",

pages = "516--521",

booktitle = "Web Information Systems Engineering, WISE 2013 - 14th International Conference, Proceedings",

edition = "PART 1",

note = "14th International Conference on Web Information Systems Engineering, WISE 2013 ; Conference date: 13-10-2013 Through 15-10-2013",

}

Wang, C, Xiao, B, Li, X , Zhu, J , He, X & Zhang, R 2013, Predicting users' age range in micro-blog network. in Web Information Systems Engineering, WISE 2013 - 14th International Conference, Proceedings. PART 1 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 1, vol. 8180 LNCS, pp. 516-521, 14th International Conference on Web Information Systems Engineering, WISE 2013, Nanjing, China, 13/10/13. https://doi.org/10.1007/978-3-642-41230-1_46

Predicting users' age range in micro-blog network. / Wang, Chengyu; Xiao, Bing; Li, Xiang et al.
Web Information Systems Engineering, WISE 2013 - 14th International Conference, Proceedings. PART 1. ed. 2013. p. 516-521 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8180 LNCS, No. PART 1).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Predicting users' age range in micro-blog network

AU - Wang, Chengyu

AU - Xiao, Bing

AU - Li, Xiang

AU - Zhu, Jiawen

AU - He, Xiaofeng

AU - Zhang, Rong

PY - 2013

Y1 - 2013

N2 - In this report, we present our work on WISE 2013 Challenge Track II to predict the age range of Weibo users. In this challenge, a dataset consisting of Sina Weibo user information was presented. The goal of the challenge is to predict users age range. With personal information and original tweets for over one million users as training data, we analyze and process the dataset, and experiment a series of prediction methods including SVM, decision tree etc. The result shows that ensemble classifiers based on AdaBoost achieves the best prediction results in this challenge.

AB - In this report, we present our work on WISE 2013 Challenge Track II to predict the age range of Weibo users. In this challenge, a dataset consisting of Sina Weibo user information was presented. The goal of the challenge is to predict users age range. With personal information and original tweets for over one million users as training data, we analyze and process the dataset, and experiment a series of prediction methods including SVM, decision tree etc. The result shows that ensemble classifiers based on AdaBoost achieves the best prediction results in this challenge.

KW - AdaBoost

KW - WISE challenge

KW - classification

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U2 - 10.1007/978-3-642-41230-1_46

DO - 10.1007/978-3-642-41230-1_46

M3 - 会议稿件

AN - SCOPUS:84887484677

SN - 9783642412295

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 516

EP - 521

BT - Web Information Systems Engineering, WISE 2013 - 14th International Conference, Proceedings

T2 - 14th International Conference on Web Information Systems Engineering, WISE 2013

Y2 - 13 October 2013 through 15 October 2013

ER -

Wang C, Xiao B, Li X , Zhu J , He X , Zhang R. Predicting users' age range in micro-blog network. In Web Information Systems Engineering, WISE 2013 - 14th International Conference, Proceedings. PART 1 ed. 2013. p. 516-521. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1). doi: 10.1007/978-3-642-41230-1_46

Predicting users' age range in micro-blog network

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