Abstract
Many companies carry out questionnaires. These questionnaires often have questions which need respondents to answer by free description. It is, however, inefficient for an analyzer to read whole data for getting outlines or classifying them. The authors have proposed the HK Graph (Hierarchical Keyword Graph) which is a support tool for text mining. HK Graph can visualize the relationships among attributes and words with hierarchical graph structure based on frequency of co-occurrence. However, the result of HK Graph is not helpful enough for the analyzer to grasp the outlines of the texts and extract opinions from them. This paper presents a new visualization method for the HK Graph incorporating a grouping method based on concepts of words. An experiment is carried out by applying the proposed method to actual questionnaire data on disasters and studies the effectiveness of the proposed method.
