Embedding-based Detection and Extraction of Research Topics from Academic Documents Using Deep Clustering

Abstract

Detection of research fields or topics and understanding the dynamics help the scientific community in their decisions regarding the establishment of scientific fields. This also helps in having a better collaboration with governments and businesses. This study aims to investigate the development of research fields over time, translating it into a topic detection problem.

Keywords

• dynamics of science
• science mapping
• document clustering
• artificial intelligence
• deep learning