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cs.IR2022★ 1 cited
Semi-supervised Nonnegative Matrix Factorization for Document Classification
Jamie Haddock, Lara Kassab, Sixian Li +9
We propose new semi-supervised nonnegative matrix factorization (SSNMF) models for document classification and provide motivation for these models as maximum likelihood estimators.…
cs.IR2020
Sparseness-constrained Nonnegative Tensor Factorization for Detecting Topics at Different Time Scales
Lara Kassab, Alona Kryshchenko, Hanbaek Lyu +4
Temporal data (such as news articles or Twitter feeds) often consists of a mixture of long-lasting trends and popular but short-lasting topics of interest. A truly successful topic…