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SRTM: a supervised relation topic model for multi-classification on large-scale document network

Crossref DOI link: https://doi.org/10.1007/s00521-019-04145-5

Published Online: 2019-03-20

Published Print: 2020-05

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

Authors

Li, Chunshan https://orcid.org/0000-0002-0907-5821
Zhang, Hua

Chu, Dianhui

Xu, Xiaofei
Funding

Funding for this research was provided by:

National Natural Science Foundation of China (61772159)

Natural Science Foundation of Shandong Province (ZR201702150244)

University Co-construction Project
License Information

Text and Data Mining valid from 2019-03-20
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Article History

Received: 25 January 2019

Accepted: 9 March 2019

First Online: 20 March 2019

Compliance with ethical standards

:

: The authors declare no conflict of interest. We declare that we do not have any commercial or associative interest that represents a conflict of interest in connection with the work entitled “SRTM: A Supervised Relation Topic Model for Multi-Classification on Large-scale Document Network”.