{"created":"2025-01-19T00:44:58.222566+00:00","updated":"2025-01-19T16:48:03.299389+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00174893","sets":["6394:8432:8436"]},"path":["8436"],"owner":"13","recid":"174893","title":["テキスト含意認識による分類軸発見と分類の自動化－多様なチャネルからの顧客の意見分析による実践－"],"pubdate":{"attribute_name":"公開日","attribute_value":"2016-10-15"},"_buckets":{"deposit":"cf91c12d-f50d-4798-8265-ee6ef2f4ca09"},"_deposit":{"id":"174893","pid":{"type":"depid","value":"174893","revision_id":0},"owners":[13],"status":"published","created_by":13},"item_title":"テキスト含意認識による分類軸発見と分類の自動化－多様なチャネルからの顧客の意見分析による実践－","author_link":["363319","363320"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"テキスト含意認識による分類軸発見と分類の自動化－多様なチャネルからの顧客の意見分析による実践－"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"特集：人工知能の実践的活用","subitem_subject_scheme":"Other"}]},"item_type_id":"21","publish_date":"2016-10-15","item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_21_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"日本電気（株）"},{"subitem_text_value":"日本電気（株）"}]},"item_publisher":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"情報処理学会","subitem_publisher_language":"ja"}]},"publish_status":"0","weko_shared_id":-1,"item_file_price":{"attribute_name":"Billing file","attribute_type":"file","attribute_value_mlt":[{"url":{"url":"https://ipsj.ixsq.nii.ac.jp/record/174893/files/IPSJ-DP0704005.pdf","label":"IPSJ-DP0704005.pdf"},"date":[{"dateType":"Available","dateValue":"2021-12-06"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-DP0704005.pdf","filesize":[{"value":"955.1 kB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"0","billingrole":"5"},{"tax":["include_tax"],"price":"0","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"a937052a-bb10-41ea-88a5-d9def04ad195","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2016 by the Information Processing Society of Japan"}]},"item_21_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"土田, 正明"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"山本, 康高"}],"nameIdentifiers":[{}]}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_6501","resourcetype":"journal article"}]},"item_21_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA1245124X","subitem_source_identifier_type":"NCID"}]},"item_21_source_id_11":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"2188-4390","subitem_source_identifier_type":"ISSN"}]},"item_21_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"本稿では，テキストデータの概要を把握するために開発した分類軸の発見と分類を自動で行うシステムとその実践例について述べる．本システムは，テキスト含意認識技術を用いて，同じ意味を含む文をまとめ上げ，各まとまりが共通に含む意味を「代表文」として付与することで，分類軸の発見と分類を自動化している．実践例として，さまざまなチャネルのテキストデータを横断的に分析した結果，着目する製品・サービスに共通する意見を集計でき，また，意見の見落としの削減に有効であることを確認できた．","subitem_description_type":"Other"}]},"item_21_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"369","bibliographic_titles":[{"bibliographic_title":"デジタルプラクティス"}],"bibliographicPageStart":"361","bibliographicIssueDates":{"bibliographicIssueDate":"2016-10-15","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"4","bibliographicVolumeNumber":"7"}]},"relation_version_is_last":true,"item_21_alternative_title_2":{"attribute_name":"その他タイトル","attribute_value_mlt":[{"subitem_alternative_title":"招待論文"}]},"item_21_identifier_registration":{"attribute_name":"ID登録","attribute_value_mlt":[{"subitem_identifier_reg_text":"10.20729/00174859","subitem_identifier_reg_type":"JaLC"}]},"weko_creator_id":"13"},"id":174893,"links":{}}