{"created":"2025-01-19T01:29:10.639963+00:00","updated":"2025-01-19T11:24:51.716721+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00229799","sets":["6504:11436:11439"]},"path":["11439"],"owner":"44499","recid":"229799","title":["新型コロナウイルス感染症に関連する偏見・差別ツイート判別手法の提案"],"pubdate":{"attribute_name":"公開日","attribute_value":"2023-02-16"},"_buckets":{"deposit":"5718cf9c-8133-4353-970c-cc4891037434"},"_deposit":{"id":"229799","pid":{"type":"depid","value":"229799","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"新型コロナウイルス感染症に関連する偏見・差別ツイート判別手法の提案","author_link":["618151","618152"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"新型コロナウイルス感染症に関連する偏見・差別ツイート判別手法の提案"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"データとウェブ","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":"千葉工大"},{"subitem_text_value":"千葉工大"}]},"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/229799/files/IPSJ-Z85-4P-03.pdf","label":"IPSJ-Z85-4P-03.pdf"},"date":[{"dateType":"Available","dateValue":"2023-11-17"}],"format":"application/pdf","filename":"IPSJ-Z85-4P-03.pdf","filesize":[{"value":"403.7 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"db3ff127-f738-4899-b040-8d52332dc007","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":"高山, 勝彦"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"熊本, 忠彦"}],"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":"新型コロナウイルス感染症（COVID‑19）の蔓延に伴い，感染者や医療従事者などへの偏見や差別がTwitter上でも観測される．そこで本稿では，任意のツイートがCOVID‑19に関連する偏見や差別を含んでいるか否かを判別する手法を提案する．具体的には，収集したツイートに対し，クラウドソーシングにより「偏見を含む/含まない」，「差別を含む/含まない」というラベルを付与し，学習させることで，偏見モデルと差別モデルを作成する．このとき，モデル作成にはBERTとBertForSequenceClassificationを用い，それぞれの精度を比較する．結果，後者の方が若干高精度であることが示された．","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"550","bibliographic_titles":[{"bibliographic_title":"第85回全国大会講演論文集"}],"bibliographicPageStart":"549","bibliographicIssueDates":{"bibliographicIssueDate":"2023-02-16","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2023"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":229799,"links":{}}