A Big Data COVID-19 literature pattern discovery using NLP

As our collective knowledge about COVID-19 continues to grow at an exponential rate, it becomes more difficult to organize and observe emerging trends. In this work, we built an open source methodology that uses topic modeling and a pretrained BERT model to organize large corpora of COVID-19 publications into topics over time and over location. Additionally, it assesses the association of medical keywords against COVID-19 over time. These analyses are then automatically pushed into an open source web application that allows a user to obtain actionable insights from across the globe. ### Competing Interest Statement The authors have declared no competing interest.