This Article Full Text (OnlineFirst PDF) All Versions of this Article: 1094428108317202v1 12/3/436    most recent Alert me when this article is cited Alert me if a correction is posted Services Email this article to a friend Similar articles in this journal Alert me to new issues of the journal Add to Saved Citations Download to citation manager Request Permissions Request Reprints Add to My Marked Citations Citing Articles Citing Articles via Google Scholar Citing Articles via Scopus Google Scholar Articles by Janasik, N. Articles by Bruun, H. Search for Related Content Social Bookmarking                         What's this?

Text Mining in Qualitative Research: Application of an Unsupervised Learning Method

^* To whom correspondence should be addressed. E-mail: nina.janasik{at}tkk.fi.

	Abstract

The article provides an introduction to and a demonstration of the self-organizing map (SOM) method for organizational researchers interested in the use of qualitative data. The SOM is a versatile quantitative method very commonly used across many disciplines to analyze large data sets. The outcome of the SOM analysis is a map in which entities are positioned according to similarity. The authors’ argument is that text mining using the SOM is particularly effective in improving inference quality within qualitative research. SOM creates multiple well-grounded perspectives on the data and thus improves the quality of the concepts and categories used in the analysis.

First published on April 25, 2008, doi:10.1177/1094428108317202

Organizational Research Methods 2009;12:436.

A more recent version of this article appeared on July 1, 2009


CiteULike    Complore    Connotea    Del.icio.us    Digg    Reddit    Technorati    Twitter    What's this?