Articlediamond2012

A qualitative analysis framework using natural language processing and graph theory

38 citations0/0 files storedThe International Review of Research in Open and Distributed Learning

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Computational and Text Analysis Methods Sentiment Analysis and Opinion Mining Qualitative Research Methods and Applications

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.

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References

1984Case Study Research: Design and Methods 1994Handbook of Qualitative Research 2011Case study research: design and methods 2004Case Study Research 1987Qualitative Analysis for Social Scientists 2011The Sage Handbook of Qualitative Research 1 1996Qualitative data analysis (2nd ed)1988Qualitative Analysis for Social Scientists.

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