  The novel coronavirus (SARS-CoV-2) which causes COVID-19 is an ongoing
pandemic. There are ongoing studies with up to hundreds of publications
uploaded to databases daily. We are exploring the use-case of artificial
intelligence and natural language processing in order to efficiently sort
through these publications. We demonstrate that clinical trial information,
preclinical studies, and a general topic model can be used as text mining data
intelligence tools for scientists all over the world to use as a resource for
their own research. To evaluate our method, several metrics are used to measure
the information extraction and clustering results. In addition, we demonstrate
that our workflow not only have a use-case for COVID-19, but for other disease
areas as well. Overall, our system aims to allow scientists to more efficiently
research coronavirus. Our automatically updating modules are available on our
information portal at https://ghddi-ailab.github.io/Targeting2019-nCoV/ for
public viewing.
