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Semi-supervised collective matrix factorization for topic detection and document clustering

Wang, Ye, Zhang, Yanchun ORCID: 0000-0002-5094-5980, Zhou, B and Jia, Y (2017) Semi-supervised collective matrix factorization for topic detection and document clustering. In: 2017 IEEE Second International Conference on Data Science in Cyberspace, 26 Jun 2017 - 29 Jun 2017, Shenzhen, china.

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Item Type: Conference or Workshop Item (Paper)
ISBN: 9781538615997
Uncontrolled Keywords: topic detection and tracking; TDT; data; document clustering; non-negative matrix factorization; NMF; text content matrix; social context matrix; social media
Subjects: FOR Classification > 0801 Artificial Intelligence and Image Processing
FOR Classification > 0806 Information Systems
Faculty/School/Research Centre/Department > Centre for Applied Informatics
SWORD Depositor: Symplectic Elements
Depositing User: Symplectic Elements
Date Deposited: 26 Mar 2019 00:41
Last Modified: 06 Jun 2019 06:33
URI: http://vuir.vu.edu.au/id/eprint/38178
DOI: https://doi.org/10.1109/DSC.2017.17
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Citations in Scopus: 2 - View on Scopus

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