Bio-Entity Extraction of COVID-19 Literature

In light of the worldwide pandemic, COVID-19 Portal sums up COVID-19 related research endeavors from more than 200,000 research papers which can encourage researchers to cooperate and share resources. The objective of my project is bio-entity extraction for COVID-19 papers using tools like PubTator and BERN, neural named entity recognition tools for biomedical text mining, and entity extraction. The dataset obtained from open source platforms like PubMed and Kaggle is processed by extracting biological entities, authors, and identifying affiliations. Simultaneously, extracting the current most mentioned biological entities (e.g., drugs, diseases, vaccines, genes) in clinical trials and the lists of most active scientists, institutions, and the topics or biological entities they are working on.