Author profiling for age and gender using combinations of features of various types-Reference-Cited by-同舟云学术

Author profiling for age and gender using combinations of features of various types

Published:2019-05-14 Issue:5 Volume:36 Page:4833-4843
ISSN:1064-1246
Container-title:Journal of Intelligent & Fuzzy Systems
language:
Short-container-title:IFS

Author:

Ameer Iqra¹,Sidorov Grigori¹,Nawab Rao Muhammad Adeel²

Affiliation:

1. Center for Computing Research (CIC), Instituto Poitécnico Nacional (IPN), Av. Juan de Dios Bátiz, Zacatenco, Mexico City, Mexico

2. Department of Computer Science, COMSATS University Islamabad Lahore Campus, Pakistan

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference27 articles.

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3. C. Zhang and P. Zhang , Predicting gender from blog posts. Technical report, University of Massachusetts Amherst, USA, 2010.

4. Predicting age and gender in online social networks;Peersman;In Proceedings of the 3rd international Workshop on Search and Mining User-Generated Contents,2011

5. D.-P. Nguyen , R. Gravel , R.B. Trieschnigg and T. Meder , How old do you think i am? a study of language and age in Twitter. 2013.

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