A Comparative NLP-Based Study on the Current Trends and Future Directions in COVID-19 Research.

ABSTRACT: COVID-19 is a global health crisis that has altered human life and still promises to create ripples of death and destruction in its wake. The sea of scientific literature published over a short time-span to understand and mitigate this global phenomenon necessitates concerted efforts to organize our findings and focus on the unexplored facets of the disease. In this work, we applied natural language processing (NLP) based approaches on scientific literature published on COVID-19 to infer significant keywords that have contributed to our social, economic, demographic, psychological, epidemiological, clinical, and medical understanding of this pandemic. We identify key terms appearing in COVID literature that vary in representation when compared to other virus-borne diseases such as MERS, Eb

SUBMITTER: Bose P 

PROVIDER: S-EPMC8545210 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature