COVID-19 Literature Topic-Based Search via Hierarchical NMF

Grotheer, Rachel, Huang, Yihuan, Li, Pengyu, Rebrova, Elizaveta, Needell, Deanna, Huang, Longxiu, Kryshchenko, Alona, Li, Xia, Ha, Kyung, Kryshchenko, Oleksandr

arXiv.org Machine Learning 

The appearance of the novel SARS-CoV-2 virus on the global scale has generated demand for rapid 1.1 Contributions research into the virus and the disease it causes, Our methods help make sense of a vast and rapidly COVID-19. However, the literature about coronaviruses growing body of COVID-19 related literature. The such as SARS-CoV-2 is vast and difficult main contributions of this paper are as follows: to sift through. This paper describes an attempt to organize existing literature on coronaviruses, - A diverse dataset of COVID-19 related scientific other pandemics, and early research on the current literature is compiled, consisting of COVID-19 outbreak in response to the call to articles with full-text available drawn from action issued by the White House Office of Science several online collections.

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