{"created":"2021-03-01T06:26:02.262174+00:00","id":18612,"links":{},"metadata":{"_buckets":{"deposit":"53b5ca28-d10b-4832-b77f-bed3f784001a"},"_deposit":{"id":"18612","owners":[],"pid":{"revision_id":0,"type":"depid","value":"18612"},"status":"published"},"_oai":{"id":"oai:nagoya.repo.nii.ac.jp:00018612"},"item_10_alternative_title_19":{"attribute_name":"\u305d\u306e\u4ed6\u306e\u8a00\u8a9e\u306e\u30bf\u30a4\u30c8\u30eb","attribute_value_mlt":[{"subitem_alternative_title":"Support System for Analysis of Free-Text Data using HK Graph with Concept of Words"}]},"item_10_biblio_info_6":{"attribute_name":"\u66f8\u8a8c\u60c5\u5831","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2012-03-29","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"2","bibliographicPageEnd":"165","bibliographicPageStart":"159","bibliographicVolumeNumber":"11","bibliographic_titles":[{"bibliographic_title":"\u65e5\u672c\u611f\u6027\u5de5\u5b66\u4f1a\u8ad6\u6587\u8a8c"}]}]},"item_10_description_4":{"attribute_name":"\u6284\u9332","attribute_value_mlt":[{"subitem_description":"A lot of companies carry out questionnaires, which often have questions that can be answered by free-form text. However, it is time-consuming to get the outline of all responses by reading the whole text, and it is difficult to analyze them without subjective bias. The authors have proposed \u201cHK Graph\u201d (Hierarchical Keyword Graph), which is a support tool for text mining. HK Graph visualizes the relationship among words with a hierarchical graph structure. However, the conventional HK Graph shows words and their synonyms; consequently, the visualization gets complicated. This paper proposes a new HK Graph, in which synonyms are aggregated using a thesaurus. The experimental results showed that synonyms were appropriately aggregated while the amount of intrinsic information in the visualized result was increased. As a result, it became easier to grasp the outline in the proposed HK Graph than in the conventional HK Graph.","subitem_description_type":"Abstract"}]},"item_10_identifier_60":{"attribute_name":"URI","attribute_value_mlt":[{"subitem_identifier_type":"DOI","subitem_identifier_uri":"http://dx.doi.org/10.5057/jjske.11.159"},{"subitem_identifier_type":"HDL","subitem_identifier_uri":"http://hdl.handle.net/2237/20709"}]},"item_10_publisher_32":{"attribute_name":"\u51fa\u7248\u8005","attribute_value_mlt":[{"subitem_publisher":"\u65e5\u672c\u611f\u6027\u5de5\u5b66\u4f1a"}]},"item_10_rights_12":{"attribute_name":"\u6a29\u5229","attribute_value_mlt":[{"subitem_rights":"\u3053\u3053\u306b\u63b2\u8f09\u3057\u305f\u8457\u4f5c\u7269\u306e\u5229\u7528\u306b\u95a2\u3059\u308b\u6ce8\u610f \u672c\u8457\u4f5c\u7269\u306e\u8457\u4f5c\u6a29\u306f\u65e5\u672c\u611f\u6027\u5de5\u5b66\u4f1a\u306b\u5e30\u5c5e\u3057\u307e\u3059\u3002\u672c\u8457\u4f5c\u7269\u306f\u8457\u4f5c\u6a29\u8005\u3067\u3042\u308b\u65e5\u672c\u611f\u6027\u5de5\u5b66\u4f1a\u306e\u8a31\u53ef\u306e\u3082\u3068\u306b\u63b2\u8f09\u3059\u308b\u3082\u306e\u3067\u3059\u3002\u3054\u5229\u7528\u306b\u5f53\u305f\u3063\u3066\u306f\u300c\u8457\u4f5c\u6a29\u6cd5\u300d\u306a\u3089\u3073\u306b\u95a2\u9023\u6cd5\u898f\u306b\u5f93\u3046\u3053\u3068\u3092\u304a\u9858\u3044\u3044\u305f\u3057\u307e\u3059\u3002Notice for the use of this material The copyright of this material is retained by the Japan Society of Kansei Engineering (JSKE). This material is published on this web site with the agreement of the author (s) and the JSKE. Please be complied with Copyright Law of Japan and the Relevant statutes if any users wish to reproduce, make derivative work, distribute or make available to the public any part or whole thereof. All Rights Reserved, Copyright (C) Japan Society of Kansei Engineering. Comments are welcome. Mail to address editor(at)jske.org , please."}]},"item_10_select_15":{"attribute_name":"\u8457\u8005\u7248\u30d5\u30e9\u30b0","attribute_value_mlt":[{"subitem_select_item":"publisher"}]},"item_10_source_id_7":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"1884-0833","subitem_source_identifier_type":"ISSN"}]},"item_creator":{"attribute_name":"\u8457\u8005","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"\u5c0f\u6797, \u5927\u8f14"}],"nameIdentifiers":[{"nameIdentifier":"54100","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"\u5409\u5ddd, \u5927\u5f18"}],"nameIdentifiers":[{"nameIdentifier":"54101","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"\u53e4\u6a4b, \u6b66"}],"nameIdentifiers":[{"nameIdentifier":"54102","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"KOBAYASHI, Daisuke"}],"nameIdentifiers":[{"nameIdentifier":"54103","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"YOSHIKAWA, Tomohiro"}],"nameIdentifiers":[{"nameIdentifier":"54104","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"FURUHASHI, Takeshi"}],"nameIdentifiers":[{"nameIdentifier":"54105","nameIdentifierScheme":"WEKO"}]}]},"item_files":{"attribute_name":"\u30d5\u30a1\u30a4\u30eb\u60c5\u5831","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2018-02-21"}],"displaytype":"detail","filename":"11_159.pdf","filesize":[{"value":"1.2 MB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"11_159.pdf","url":"https://nagoya.repo.nii.ac.jp/record/18612/files/11_159.pdf"},"version_id":"690de889-012d-49dc-a919-006ae96ada95"}]},"item_keyword":{"attribute_name":"\u30ad\u30fc\u30ef\u30fc\u30c9","attribute_value_mlt":[{"subitem_subject":"Text mining","subitem_subject_scheme":"Other"},{"subitem_subject":"HK Graph","subitem_subject_scheme":"Other"},{"subitem_subject":"Questionnaire analysis","subitem_subject_scheme":"Other"}]},"item_language":{"attribute_name":"\u8a00\u8a9e","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_resource_type":{"attribute_name":"\u8cc7\u6e90\u30bf\u30a4\u30d7","attribute_value_mlt":[{"resourcetype":"journal article","resourceuri":"http://purl.org/coar/resource_type/c_6501"}]},"item_title":"\u6982\u5ff5\u3092\u7528\u3044\u305fHK Graph\u306b\u3088\u308b\u30c6\u30ad\u30b9\u30c8\u89e3\u6790\u652f\u63f4","item_titles":{"attribute_name":"\u30bf\u30a4\u30c8\u30eb","attribute_value_mlt":[{"subitem_title":"\u6982\u5ff5\u3092\u7528\u3044\u305fHK Graph\u306b\u3088\u308b\u30c6\u30ad\u30b9\u30c8\u89e3\u6790\u652f\u63f4"}]},"item_type_id":"10","owner":"1","path":["320/321/322"],"pubdate":{"attribute_name":"\u516c\u958b\u65e5","attribute_value":"2014-11-06"},"publish_date":"2014-11-06","publish_status":"0","recid":"18612","relation_version_is_last":true,"title":["\u6982\u5ff5\u3092\u7528\u3044\u305fHK Graph\u306b\u3088\u308b\u30c6\u30ad\u30b9\u30c8\u89e3\u6790\u652f\u63f4"],"weko_creator_id":"1","weko_shared_id":null},"updated":"2021-03-01T16:35:39.066747+00:00"}