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Extending monitoring methods to textual data: a research agenda

Listed author(s):
  • Triss Ashton

    ()

  • Nicholas Evangelopoulos

    ()

  • Victor Prybutok

    ()

Registered author(s):

    Textual data has become increasingly common in business analytic data sets. While concept-based text mining offers a method of extracting meaningful information from text data, methods for monitoring of customer perceptions of business processes and products that are discussed in customer-generated documents are not immediately available. We explore the results of two text-mining algorithms and review issues observed in the data that affect uploading the results onto a newly proposed methodological monitoring platform analogous to statistical process control charts. Finally, we discuss several topics for future research in text mining. Copyright Springer Science+Business Media Dordrecht 2014

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    File URL: http://hdl.handle.net/10.1007/s11135-013-9891-8
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    Article provided by Springer in its journal Quality & Quantity.

    Volume (Year): 48 (2014)
    Issue (Month): 4 (July)
    Pages: 2277-2294

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    Handle: RePEc:spr:qualqt:v:48:y:2014:i:4:p:2277-2294
    DOI: 10.1007/s11135-013-9891-8
    Contact details of provider: Web page: http://www.springer.com

    Order Information: Web: http://www.springer.com/economics/journal/11135

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    1. Grün, Bettina & Hornik, Kurt, 2011. "topicmodels: An R Package for Fitting Topic Models," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 40(i13).
    2. Peter Swanborn, 1996. "A common base for quality control criteria in quantitative and qualitative research," Quality & Quantity: International Journal of Methodology, Springer, vol. 30(1), pages 19-35, February.
    3. Ding, Chris & Li, Tao & Peng, Wei, 2008. "On the equivalence between Non-negative Matrix Factorization and Probabilistic Latent Semantic Indexing," Computational Statistics & Data Analysis, Elsevier, vol. 52(8), pages 3913-3927, April.
    4. C. Poortman & K. Schildkamp, 2012. "Alternative quality standards in qualitative research?," Quality & Quantity: International Journal of Methodology, Springer, vol. 46(6), pages 1727-1751, October.
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