Abstract
In this study, the authors developed text mining techniques for helping to identify attitude of commentators towards the theme addressed in public comments with using co-occurrence of issues and adjective verbs and visualizing to identify the differences in mention of issues by attributes (gender, age and occupation) in large-scale public comments. As the result of applying the developed techniques to submitted comments to the “public comment for choices on energy and the environment” implemented by National Policy Unit in 2012, it was possible to identify the attitude towards the themes, and differences in mention of issues by the attributes.
