Using Text Analytics for Health to Get Meaningful Insights from a Corpus of COVID Scientific Papers

TL;DR

This paper demonstrates how Text Analytics for Health, combined with cloud tools, can extract knowledge from the vast COVID scientific literature to assist researchers in navigating and understanding the extensive corpus.

Contribution

It introduces a method using pre-trained text analytics and cloud tools to extract insights from COVID scientific papers, aiding research navigation.

Findings

Successful extraction of knowledge from large COVID paper corpus

Development of a tool to help researchers navigate scientific literature

Enhanced understanding of COVID research trends

Abstract

Since the beginning of COVID pandemic, there have been around 700000 scientific papers published on the subject. A human researcher cannot possibly get acquainted with such a huge text corpus -- and therefore developing AI-based tools to help navigating this corpus and deriving some useful insights from it is highly needed. In this paper, we will use Text Analytics for Health pre-trained service together with some cloud tools to extract some knowledge from scientific papers, gain insights, and build a tool to help researcher navigate the paper collection in a meaningful way.