Concept Driven Search and Visualization System for Exploring Scientific Repositories

In this paper we present a scientific document retrieval system targeted at answering specific information needs for a diverse set of professionals This became a crying need in the wake of the pandemic when researchers, clinicians, virologists, epidemiologists and health policy makers are regularly exploring a large collection of scientific literature related SARS-COV2 and COVID-19 The system facilitates exploration and easy comprehension of the results at multiple granularity through visual and textual summaries The system uses novel NLP techniques to extract, aggregate and analyse textual information The system also creates unique visual components to view key information of interest at individual and aggregate levels The system is implemented as a web application © 2021 Owner/Author