{"created":"2025-01-19T01:29:42.807471+00:00","updated":"2025-01-19T11:16:34.995431+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00230134","sets":["6504:11436:11440"]},"path":["11440"],"owner":"44499","recid":"230134","title":["印象極性辞書構築のための文脈一貫性に基づく評価情報極性推定"],"pubdate":{"attribute_name":"公開日","attribute_value":"2023-02-16"},"_buckets":{"deposit":"f918a6cc-b3f8-4d6f-a434-a73ab223885b"},"_deposit":{"id":"230134","pid":{"type":"depid","value":"230134","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"印象極性辞書構築のための文脈一貫性に基づく評価情報極性推定","author_link":["619143","619144","619145"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"印象極性辞書構築のための文脈一貫性に基づく評価情報極性推定"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"人工知能と認知科学","subitem_subject_scheme":"Other"}]},"item_type_id":"22","publish_date":"2023-02-16","item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_22_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"東京都市大"},{"subitem_text_value":"東京都市大"},{"subitem_text_value":"東京都市大"}]},"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/230134/files/IPSJ-Z85-1V-06.pdf","label":"IPSJ-Z85-1V-06.pdf"},"date":[{"dateType":"Available","dateValue":"2023-11-17"}],"format":"application/pdf","filename":"IPSJ-Z85-1V-06.pdf","filesize":[{"value":"1.9 MB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"e4160e33-6991-4d7b-ad7e-9e0d0ed51300","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2023 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"宍戸, 伶雅"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"酒井, 柊輔"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"延澤, 志保"}],"nameIdentifiers":[{}]}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_5794","resourcetype":"conference paper"}]},"item_22_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN00349328","subitem_source_identifier_type":"NCID"}]},"item_22_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"商品レビューの評判情報の極性推定には印象極性辞書が利用されている．既存の辞書には「高い」などの極性が曖昧になってしまう語を記載することが難しい．そのため，評価情報と属性を組にすることによって極性の曖昧性を減らした極性推定の手法が提案する．辞書には初期段階として曖昧性の低い語を記載した辞書を用意し，文脈一貫性を用いた極性推定で推定できた組を辞書に追加する．その後，辞書内の組同士で再度極性を行い極性の更新を行う．これを繰り返すことで辞書構築を行う．辞書に追加した組と正解データを比較した実験では推定結果の精度が高く正しい極性が辞書に記載できることがわかった．","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"690","bibliographic_titles":[{"bibliographic_title":"第85回全国大会講演論文集"}],"bibliographicPageStart":"689","bibliographicIssueDates":{"bibliographicIssueDate":"2023-02-16","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2023"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":230134,"links":{}}