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Machine Learning and Grounded Theory Method

Published 4 November 2016
Michael Müller, Shion Guha, Eric P. S. Baumer, David Mimno, N. Sadat Shami
Citations81

TL;DR

New research directions are proposed that can further clarify the relationships between Grounded Theory Method and Machine Learning and that can use those relationships to strengthen the ability to describe the authors' phenomena and develop stronger hybrid theories.

Abstract

Grounded Theory Method (GTM) and Machine Learning (ML) are often considered to be quite different. In this note, we explore unexpected convergences between these methods. We propose new research directions that can further clarify the relationships between these methods, and that can use those relationships to strengthen our ability to describe our phenomena and develop stronger hybrid theories.

Keywords

Computer ScienceSocial Sciences