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Low Cost Text Mining as a Strategy for Qualitative Researchers
University of Skövde, The Informatics Research Centre. University of Skövde, School of Informatics. (Informationssystem)ORCID iD: 0000-0002-7858-9471
University of Skövde, The Informatics Research Centre. University of Skövde, School of Informatics. (Informationssystem)
2017 (English)In: Electronic Journal of Business Research Methods, ISSN 1477-7029, E-ISSN 1477-7029, Vol. 15, no 1, 2-16 p.Article in journal (Refereed) Published
Abstract [en]

Abstract:Advances in text mining together with the widespread adoption of the Internethave opened up new possibilities for qualitative researchersin the information systems and business and management fields.Easy access to large amounts of textual material through search engines,combined with automated techniques for analysis,promise to simplify the process of qualitative research.In practice this turns out not to be so easy.We outline a design research approach for buildinga five stageprocess for low tech,low cost text mining, which includes insights from the text mining literature and an experiment with trend analysis in business intelligence.We summarise the prototype process,and discuss the many difficulties that currently stand in the way of high quality research by this route.Despite the difficulties, the combination of low cost text mining with qualitative research is a promising methodological avenue, and we specify some future paths for this area of study.

Place, publisher, year, edition, pages
2017. Vol. 15, no 1, 2-16 p.
Keyword [en]
big data, business intelligence, qualitative research method, social media analysis, text mining, text analytics
National Category
Information Systems
Research subject
Information Systems
Identifiers
URN: urn:nbn:se:his:diva-13539OAI: oai:DiVA.org:his-13539DiVA: diva2:1092486
Available from: 2017-05-03 Created: 2017-05-03 Last updated: 2017-05-03

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