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

Real-time tracking of COVID-19 and coronavirus research updates through text mining