{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00215593","sets":["6504:10735:10811"]},"path":["10811"],"owner":"44499","recid":"215593","title":["社会的な出来事がツイッターへの投稿に与える影響を分析するソフトウェア開発"],"pubdate":{"attribute_name":"公開日","attribute_value":"2021-03-04"},"_buckets":{"deposit":"40c70c8f-5d95-434f-9167-a6a16ed4f536"},"_deposit":{"id":"215593","pid":{"type":"depid","value":"215593","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"社会的な出来事がツイッターへの投稿に与える影響を分析するソフトウェア開発","author_link":["555161","555160"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"社会的な出来事がツイッターへの投稿に与える影響を分析するソフトウェア開発"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"コンピュータと人間社会","subitem_subject_scheme":"Other"}]},"item_type_id":"22","publish_date":"2021-03-04","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":"尚美学園大"},{"subitem_text_value":"尚美学園大"}]},"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/215593/files/IPSJ-Z83-1ZD-07.pdf","label":"IPSJ-Z83-1ZD-07.pdf"},"date":[{"dateType":"Available","dateValue":"2021-12-29"}],"format":"application/pdf","filename":"IPSJ-Z83-1ZD-07.pdf","filesize":[{"value":"522.5 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"99f41123-cc0d-43b7-a7a4-11602389966e","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2021 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"呉, 思奇"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"華山, 宣胤"}],"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":"社会的な出来事（例えば，豪雨災害）が起きると，ツイッターへの関連キーワード（例えば，防災グッズ）を含むツイートやリツイートが増えると予想される．このとき投稿数の増加が大きければ，その出来事（豪雨被害）が関連キーワード（防災グッズ）に対する人々の関心に大きな影響（効果）を与えたと考えらる．しかし，類似した複数の社会的な出来事が短期間に発生すると，個々の社会的な出来事の影響（効果）を把握することは難しい．そこで本研究では，あるキーワードを含むツイートとリツイートの投稿数から，そのキーワードに対する人々の関心がどの出来事にどの程度影響されたかを推定するソフトウェアを開発し，その有用性を示す．","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"538","bibliographic_titles":[{"bibliographic_title":"第83回全国大会講演論文集"}],"bibliographicPageStart":"537","bibliographicIssueDates":{"bibliographicIssueDate":"2021-03-04","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2021"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":215593,"updated":"2025-01-19T16:05:17.629368+00:00","links":{},"created":"2025-01-19T01:16:21.449008+00:00"}