Text Mining In Qualitative Research: Application Of An Unsupervised Learning Method  

Oleh:

Janasik, Nina ; Honkela, Timo ; Bruun, Henrik

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: Organizational Research Methods vol. 12 no. 3 (Jul. 2009), page 436-460.
Topik: grounded theory; constructivism; self-organizing map; text mining; document interpretation
Fulltext: 436.pdf (279.04KB)

Isi artikel

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.

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