The COVID-19 Open Research Dataset (CORD-19) is a growing resource of scientific papers on COVID-19 and related historical coronavirus research. A Kaggle challenge has been issued for this dataset, calling on the AI and Data Science community to develop tools that can help the medical community find answers to high priority scientific questions.
This project provides a Qlik Sense app for the CORD-19 dataset. The app combines the native search, analytics and interactive visualizations of Qlik Sense, with Machine Learning capabilities like Named Entity Recognition and Clustering. It also provides an automated load process for keeping the app up to date with new research that is being added to the CORD-19 dataset on a weekly basis.