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Needmining: Evaluating a Whitelist-Based Assignment Method to Quantify Customer Needs from Micro Blog Data

In: Operations Research Proceedings 2016

Author

Listed:
  • Niklas Kuehl

    (Karlsruhe Service Research Institute (KSRI), Karlsruhe Institute of Technology (KIT))

  • Marc Goutier

    (Karlsruhe Service Research Institute (KSRI), Karlsruhe Institute of Technology (KIT))

Abstract

In the paper at hand we evaluate how a basic whitelist-approach with keywords performs on automatically assigning micro blog data (tweets) to customer need categories in the field of e-mobility. We are able to identify certain characteristics that determine the classification success like unambiguousness and uniqueness of the whitelist words.

Suggested Citation

  • Niklas Kuehl & Marc Goutier, 2018. "Needmining: Evaluating a Whitelist-Based Assignment Method to Quantify Customer Needs from Micro Blog Data," Operations Research Proceedings, in: Andreas Fink & Armin Fügenschuh & Martin Josef Geiger (ed.), Operations Research Proceedings 2016, pages 165-170, Springer.
    • Handle: RePEc:spr:oprchp:978-3-319-55702-1_23
    DOI: 10.1007/978-3-319-55702-1_23
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