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A qualitative analysis framework using natural language processing and graph theory
ARTICLE

, Brock University

IRRODL Volume 13, Number 5, ISSN 1492-3831 Publisher: Athabasca University Press

Abstract

This paper introduces a method of extending natural language-based processing of qualitative data analysis with the use of a very quantitative tool—graph theory. It is not an attempt to convert qualitative research to a positivist approach with a mathematical black box, nor is it a “graphical solution”. Rather, it is a method to help qualitative researchers, especially those with limited experience, to discover and tease out what lies within the data. A quick review of coding is followed by basic explanations of natural language processing, artificial intelligence, and graph theory to help with understanding the method. The process described herein is limited by neither the size of the data set nor the domain in which it is applied. It has the potential to substantially reduce the amount of time required to analyze qualitative data and to assist in the discovery of themes that might not have otherwise been detected.

Citation

Tierney, P. (2012). A qualitative analysis framework using natural language processing and graph theory. The International Review of Research in Open and Distributed Learning, 13(5), 173-189. Athabasca University Press. Retrieved September 29, 2022 from .

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