Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/13352
Title: Qualitative Data Mining and Knowledge Discovery Using Leximancer Digital Software
Contributor(s): Kivunja, Charles  (author)orcid 
Publication Date: 2013
DOI: 10.12720/lnit.1.1.53-55
Handle Link: https://hdl.handle.net/1959.11/13352
Abstract: It is the nature of qualitative research data to be collected in large amounts of interview narratives or conversations about human behaviour that cannot be analysed using conventional quantitative computer software. Such data need to be mined using qualitative digital software that can make sense of letters and words rather than numbers and equations. One such software that appears to be very efficient at mining qualitative data is called Leximancer and is the topic of this paper. Thanks to researchers at the University of New England and the University of Queensland in Australia, Leximancer can be used to mine large amounts of qualitative textual documents, extract information at super-electronic speeds and display the results visually in a graphic organiser of the contents generally called a Concept Map. The researcher is able to mine the data deeply to discover the meaning embedded in its digital structures through conceptual (thematic) analysis as well as relational (semantic) analysis in a manner which can be a great time saver for the researcher.
Publication Type: Journal Article
Source of Publication: Lecture Notes on Information Theory, 1(1), p. 53-55
Publisher: Engineering and Technology Publishing
Place of Publication: United States of America
ISSN: 2301-3788
Fields of Research (FoR) 2008: 130212 Science, Technology and Engineering Curriculum and Pedagogy
080602 Computer-Human Interaction
080399 Computer Software not elsewhere classified
Fields of Research (FoR) 2020: 390113 Science, technology and engineering curriculum and pedagogy
460307 Multimodal analysis and synthesis
460399 Computer vision and multimedia computation not elsewhere classified
Socio-Economic Objective (SEO) 2008: 930102 Learner and Learning Processes
890202 Application Tools and System Utilities
890205 Information Processing Services (incl. Data Entry and Capture)
Socio-Economic Objective (SEO) 2020: 220499 Information systems, technologies and services not elsewhere classified
Peer Reviewed: Yes
HERDC Category Description: C1 Refereed Article in a Scholarly Journal
Appears in Collections:Journal Article
School of Education

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