{"created":"2023-05-15T12:00:22.676186+00:00","id":7158,"links":{},"metadata":{"_buckets":{"deposit":"3476bb75-20ef-49ba-af57-e8171593da8b"},"_deposit":{"created_by":3,"id":"7158","owners":[3],"pid":{"revision_id":0,"type":"depid","value":"7158"},"status":"published"},"_oai":{"id":"oai:kyutech.repo.nii.ac.jp:00007158","sets":["8:24"]},"author_link":["661","30785","30784"],"item_21_biblio_info_6":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2021-01-21","bibliographicIssueDateType":"Issued"},"bibliographic_titles":[{"bibliographic_title":"2020 Joint 11th International Conference on Soft Computing and Intelligent Systems and 21st International Symposium on Advanced Intelligent Systems (SCIS-ISIS)"}]}]},"item_21_description_4":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"The purpose of this work is to develop a simultaneous visualization method of documents, words, and topics. The task of the proposed method is to map a set of documents to a pair of low-dimensional latent spaces corresponding to documents and words, by which the relations between them are visualized. In addition, the method also decomposes the mapping as the sum of topics, so that the topic distributions are visualized on the latent spaces. To achieve the task, we combined the tensor self-organizing map and the non-negative matrix factorization. We applied the method to NeurIPS data set, and the result shows that the method enables us to understand the tripartite relation between document, words and topics easily.","subitem_description_type":"Abstract"}]},"item_21_description_5":{"attribute_name":"内容記述","attribute_value_mlt":[{"subitem_description":"2020 Joint 11th International Conference on Soft Computing and Intelligent Systems and 21st International Symposium on Advanced Intelligent Systems (SCIS-ISIS), December 5-8, 2020, Hachijo island, Tokyo, Japan（オンライン開催に変更）","subitem_description_type":"Other"}]},"item_21_description_60":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"subitem_description":"Journal Article","subitem_description_type":"Other"}]},"item_21_publisher_7":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"IEEE"}]},"item_21_relation_12":{"attribute_name":"DOI","attribute_value_mlt":[{"subitem_relation_type":"isVersionOf","subitem_relation_type_id":{"subitem_relation_type_id_text":"https://doi.org/10.1109/SCISISIS50064.2020.9322683","subitem_relation_type_select":"DOI"}}]},"item_21_relation_9":{"attribute_name":"ISBN","attribute_value_mlt":[{"subitem_relation_type_id":{"subitem_relation_type_id_text":"978-1-7281-9732-6","subitem_relation_type_select":"ISBN"}},{"subitem_relation_type_id":{"subitem_relation_type_id_text":"978-1-7281-9733-3","subitem_relation_type_select":"ISBN"}}]},"item_21_rights_13":{"attribute_name":"権利","attribute_value_mlt":[{"subitem_rights":"Copyright (c) 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works."}]},"item_21_select_59":{"attribute_name":"査読の有無","attribute_value_mlt":[{"subitem_select_item":"yes"}]},"item_21_text_36":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"Kyushu Institute of Technology"},{"subitem_text_value":"Kyushu Institute of Technology"},{"subitem_text_value":"Kyushu Institute of Technology"}]},"item_21_text_63":{"attribute_name":"連携ID","attribute_value_mlt":[{"subitem_text_value":"8966"}]},"item_21_version_type_58":{"attribute_name":"著者版フラグ","attribute_value_mlt":[{"subitem_version_resource":"http://purl.org/coar/version/c_ab4af688f83e57aa","subitem_version_type":"AM"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Noguchi,  Kazuki"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Ishida,  Takuro"}],"nameIdentifiers":[{}]},{"creatorAffiliations":[{"affiliationNameIdentifiers":[],"affiliationNames":[{"affiliationName":""}]}],"creatorNames":[{"creatorName":"Furukawa, Tetsuo","creatorNameLang":"en"},{"creatorName":"古川, 徹生","creatorNameLang":"ja"},{"creatorName":"フルカワ, テツオ","creatorNameLang":"ja-Kana"}],"familyNames":[{},{},{}],"givenNames":[{},{},{}],"nameIdentifiers":[{},{},{},{},{}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2021-06-10"}],"displaytype":"detail","filename":"neuro_22.pdf","filesize":[{"value":"3.2 MB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"neuro_22.pdf","url":"https://kyutech.repo.nii.ac.jp/record/7158/files/neuro_22.pdf"},"version_id":"6917db76-a6b6-4fd2-8800-c0273e2e824b"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"tensor self-organizing map","subitem_subject_scheme":"Other"},{"subitem_subject":"document analysis","subitem_subject_scheme":"Other"},{"subitem_subject":"topic","subitem_subject_scheme":"Other"},{"subitem_subject":"non-negative matrix factorization","subitem_subject_scheme":"Other"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourcetype":"journal article","resourceuri":"http://purl.org/coar/resource_type/c_6501"}]},"item_title":"Simultaneous Visualization of Documents, Words and Topics by Tensor Self-Organizing Map and Non-negative Matrix Factorization","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Simultaneous Visualization of Documents, Words and Topics by Tensor Self-Organizing Map and Non-negative Matrix Factorization"}]},"item_type_id":"21","owner":"3","path":["24"],"pubdate":{"attribute_name":"公開日","attribute_value":"2021-06-10"},"publish_date":"2021-06-10","publish_status":"0","recid":"7158","relation_version_is_last":true,"title":["Simultaneous Visualization of Documents, Words and Topics by Tensor Self-Organizing Map and Non-negative Matrix Factorization"],"weko_creator_id":"3","weko_shared_id":3},"updated":"2023-10-25T06:32:38.464879+00:00"}