{"created":"2025-01-19T01:29:10.543365+00:00","updated":"2025-01-19T11:24:53.133695+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00229798","sets":["6504:11436:11439"]},"path":["11439"],"owner":"44499","recid":"229798","title":["Twitterデータを用いた新型コロナワクチン賛成派と反対派の傾向分析"],"pubdate":{"attribute_name":"公開日","attribute_value":"2023-02-16"},"_buckets":{"deposit":"8fabed9a-10ed-4d39-938f-9068c61437f9"},"_deposit":{"id":"229798","pid":{"type":"depid","value":"229798","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"Twitterデータを用いた新型コロナワクチン賛成派と反対派の傾向分析","author_link":["618150","618149"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Twitterデータを用いた新型コロナワクチン賛成派と反対派の傾向分析"}]},"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":"法大"},{"subitem_text_value":"法大"}]},"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/229798/files/IPSJ-Z85-4P-02.pdf","label":"IPSJ-Z85-4P-02.pdf"},"date":[{"dateType":"Available","dateValue":"2023-11-17"}],"format":"application/pdf","filename":"IPSJ-Z85-4P-02.pdf","filesize":[{"value":"395.1 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"f68bf7d2-15c0-41c6-9ab0-05f768ae2872","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":"田中, 創太"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"細部, 博史"}],"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":"日本国内で初めて新型コロナウイルスへの感染が確認されてから現在では3年近く経過した．その間マスクやワクチンの有効性や危険性，情報の信憑性などについて多くの議論が交わされていた．これらの多くはワクチン賛成派と反対派の間で行われてきた．この反対派はマスクをしている人へのマスクを外すことの強要や，感染対策をしないままでの交通機関や店の利用，SNSでの信憑性の低い情報の拡散などの迷惑行為を繰り返した．本稿では，反対派の存在が感染状況の悪化やワクチン接種率低下の一因であると捉え， Twitterデータから賛成派と反対派を分類，分析してその傾向を捉え，コロナ禍対策を考える一助となる情報を提供する．","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"548","bibliographic_titles":[{"bibliographic_title":"第85回全国大会講演論文集"}],"bibliographicPageStart":"547","bibliographicIssueDates":{"bibliographicIssueDate":"2023-02-16","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2023"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":229798,"links":{}}