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Development and Evaluation of Question Templates for Text Mining

  • Norio Ishii
  • Yuri Suzuki
  • Takashi Fujii
  • Hironobu Fujiyoshi
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 156)

Abstract

In this research, we developed a question template that makes it possible to efficiently gather text data for analysis, as the first step in building an environment that will enable persons who are inexperienced in text mining to analyze qualitative data easily. We created question templates using lists, conjunctive, and parts of speech formats. We conducted evaluation tests targeting two class questionnaires, and confirmed the effectiveness of those questionnaires.

Keywords

Qualitative Data Text Mining Free Text Step Stone Response Result 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

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    Abe, H., Hirano, S., Tsumoto, S.: Mining a clinical cource knowledge from summary text. In: The 19th Annual Conference of the Japanese Society for Artificial Intelligence, 1F4-04 (2005)Google Scholar
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    Nasukawa, T.: Implementation of text mining in practice. Journal of The Japanese Society for Artificial Intelligence 24(2), 275–282 (2009)Google Scholar

Copyright information

© Springer-Verlag GmbH Berlin Heidelberg 2013

Authors and Affiliations

  • Norio Ishii
    • 1
  • Yuri Suzuki
    • 2
  • Takashi Fujii
    • 2
  • Hironobu Fujiyoshi
    • 2
  1. 1.Aichi Kiwami College of NursingIchinomiyaJapan
  2. 2.College of EngineeringChubu UniversityKasugaiJapan

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