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Improving User Attribute Classification with Text and Social Network Attention

Crossref DOI link: https://doi.org/10.1007/s12559-019-9624-y

Published Online: 2019-01-19

Published Print: 2019-08

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Li, Yumeng

Yang, Liang

Xu, Bo

Wang, Jian

Lin, Hongfei
Funding

Funding for this research was provided by:

National Natural Science Foundation of China (61632011)

National Natural Science Foundation of China (61572102)
License Information

Text and Data Mining valid from 2019-01-19
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Article History

Received: 14 December 2017

Accepted: 3 January 2019

First Online: 19 January 2019

Compliance with Ethical Standards

:

: The authors declare that they have no conflicts of interest.

: All procedures followed were in accordance with the ethical standards of the responsible committee on human experimentation (institutional and national) and with the Helsinki declaration of 1975, as revised in 2008(5). Additional informed consent was obtained from all patients for which identifying information is included in this article.

: This article does not contain any studies with human participants or animals performed by any of the authors.