Enhancing emerging technology discovery in nanomedicine by integrating innovative sentences using BERT and NLDA

Abstract

Nanomedicine has significant potential to revolutionize biomedicine and healthcare through innovations in diagnostics, therapeutics, and regenerative medicine. This study aims to develop a novel framework that integrates advanced natural language processing, noise-free topic modeling, and multidimensional bibliometrics to systematically identify emerging nanomedicine technology topics from scientific literature.

Keywords

• bibliometrics
• nanomedicine
• emerging technologies
• bert
• topic modeling