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.
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Ishii, N., Suzuki, Y., Fujii, T., Fujiyoshi, H. (2013). Development and Evaluation of Question Templates for Text Mining. In: Gaol, F. (eds) Recent Progress in Data Engineering and Internet Technology. Lecture Notes in Electrical Engineering, vol 156. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28807-4_65
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DOI: https://doi.org/10.1007/978-3-642-28807-4_65
Publisher Name: Springer, Berlin, Heidelberg
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