Mapping Subsets of Scholarly Information

TL;DR

This paper demonstrates how machine learning can be used to analyze and organize large collections of academic literature, helping to identify emerging research fields and improve community structure.

Contribution

It introduces a machine learning approach to structure and evolve scholarly corpora, facilitating the identification of emerging research areas within large academic datasets.

Findings

Effective identification of emerging research fields

Improved community structure for scholarly practitioners

Enhanced organization of large academic corpora

Abstract

We illustrate the use of machine learning techniques to analyze, structure, maintain, and evolve a large online corpus of academic literature. An emerging field of research can be identified as part of an existing corpus, permitting the implementation of a more coherent community structure for its practitioners.