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ERIC Number: EJ1001727
Record Type: Journal
Publication Date: 2012-Dec
Pages: 17
Abstractor: As Provided
Reference Count: 13
ISBN: N/A
ISSN: ISSN-1492-3831
A Qualitative Analysis Framework Using Natural Language Processing and Graph Theory
Tierney, Patrick J.
International Review of Research in Open and Distance Learning, v13 n5 p173-189 Dec 2012
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. (Contains 1 table and 7 figures.)
Athabasca University. 1200, 10011 - 109 Street, Edmonton, AB T5J 3S8, Canada. Tel: 780-421-2536; Fax: 780-497-3416; e-mail: irrodl@athabascau.ca; Web site: http://www.irrodl.org
Publication Type: Journal Articles; Reports - Descriptive
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A