[3K1-OS-5a] OS-5 (1)

[3K1-OS-5a-02] Text Mining Support using Voice Navigation

〇Masaya Sato¹, Wataru Sunayama², Yuji Hatanaka², Kazunori Ogohara² (1. Graduate School of Engineering, The University of Shiga Prefecture, 2. School of Engineering, The University of Shiga Prefecture)

Keywords:Data Mining, Text Mining, Learning Support

Nowadays, as the progress of IT, data has been accumulated in the world.
However, there is not enough human resources to analyze such data, even if the data contains useful information.
In addition, text mining methods are less well-established than the statistical analysis of numerical data.
Therefore, it is difficult to grasp the analysis procedures of text mining.
In this study, we propose a function to guide users to smooth analysis of text data using voice navigation.
The navigation voices are implemented on the existing text mining tool “TETDM”
that contains all procedures of text mining.
According to experimental results, the proposed navigation function was effective to promote text analysis.