A constrained NMF with a single seed word list and prevalence constraints improves detection of low-prevalence topics, at least on a small synthetic benchmark.
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Constrained Non-negative Matrix Factorization for Guided Topic Modeling of Minority Topics
A constrained NMF with a single seed word list and prevalence constraints improves detection of low-prevalence topics, at least on a small synthetic benchmark.