@inproceedings{oai:nagoya.repo.nii.ac.jp:00018592, author = {Kobayashi, Daisuke and Yoshikawa, Tomohiro and Furuhashi, Takeshi and Hirao, Eiji}, book = {SCIS & ISIS}, month = {}, note = {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., SCIS & ISIS 2010, Joint 5th International Conference on Soft Computing and Intelligent Systems and 11th International Symposium on Advanced Intelligent Systems. December 8-12, 2010, Okayama Convention Center, Okayama, Japan, Session ID: TH-B1-3}, pages = {40--44}, publisher = {日本知能情報ファジィ学会}, title = {A Study of Visualization Method with HK Graph Using Concept Words}, volume = {2010}, year = {2010} }