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

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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)
URI https://vuir.vu.edu.au/id/eprint/38178
DOI 10.1109/DSC.2017.17
Official URL https://ieeexplore.ieee.org/document/8005460
ISBN 9781538615997
Funders http://purl.org/au-research/grants/arc/DP140100841
Subjects Historical > FOR Classification > 0801 Artificial Intelligence and Image Processing
Historical > FOR Classification > 0806 Information Systems
Historical > Faculty/School/Research Centre/Department > Centre for Applied Informatics
Keywords topic detection and tracking; TDT; data; document clustering; non-negative matrix factorization; NMF; text content matrix; social context matrix; social media
Citations in Scopus 2 - View on Scopus
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