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COVID-19 Literature Topic-Based Search via Hierarchical NMF

COVID-19 Literature Topic-Based Search via Hierarchical NMF

7 September 2020
Rachel Grotheer
Yihuan Huang
Pengyu Li
E. Rebrova
Deanna Needell
Longxiu Huang
Alona Kryshchenko
Xia Li
Kyung Ha
Oleksandr Kryshchenko
    AI4CE
ArXiv (abs)PDFHTML

Papers citing "COVID-19 Literature Topic-Based Search via Hierarchical NMF"

2 / 2 papers shown
Title
Multi-scale Hybridized Topic Modeling: A Pipeline for Analyzing
  Unstructured Text Datasets via Topic Modeling
Multi-scale Hybridized Topic Modeling: A Pipeline for Analyzing Unstructured Text Datasets via Topic Modeling
Keyi Cheng
Stefan Inzer
Adrian Leung
Xiaoxian Shen
Michael Perlmutter
Michael R. Lindstrom
Joyce A. Chew
Todd Presner
Deanna Needell
59
1
0
24 Nov 2022
Guided Semi-Supervised Non-negative Matrix Factorization on Legal
  Documents
Guided Semi-Supervised Non-negative Matrix Factorization on Legal Documents
Pengyu Li
Christine Tseng
Yaxuan Zheng
Joyce A. Chew
Longxiu Huang
B. Jarman
Deanna Needell
62
8
0
31 Jan 2022
1