2021/10/28 by Dmitri Soshnikov, Soshnikov, Dmitry, Vickie Soshnikova +1
Biochemistry, Genetics and Molecular Biology · Computer Science · Health Professions · #Advanced Text Analysis Techniques #Artificial Intelligence in Healthcare #Biomedical Text Mining and Ontologies #Computation and Language (cs.CL) #Digital Libraries (cs.DL) #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Topic Modeling
paper · pdf · doi:10.48550/arxiv.2110.15453
openalex publication_date 2021/10/28 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
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.