{"created":"2025-01-19T01:38:15.731456+00:00","updated":"2025-01-19T09:19:04.441066+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00236291","sets":["6504:11678:11689"]},"path":["11689"],"owner":"44499","recid":"236291","title":["株価変動に影響を与えるニュース記事の見出しや単語の分析"],"pubdate":{"attribute_name":"公開日","attribute_value":"2024-03-01"},"_buckets":{"deposit":"7a005030-1e9e-45e0-9b1f-e2e414f2a5cd"},"_deposit":{"id":"236291","pid":{"type":"depid","value":"236291","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"株価変動に影響を与えるニュース記事の見出しや単語の分析","author_link":["645851","645850"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"株価変動に影響を与えるニュース記事の見出しや単語の分析"}]},"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":"2024-03-01","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":"都立産業技術高専"},{"subitem_text_value":"都立産業技術高専"}]},"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/236291/files/IPSJ-Z86-5W-06.pdf","label":"IPSJ-Z86-5W-06.pdf"},"date":[{"dateType":"Available","dateValue":"2024-07-03"}],"format":"application/pdf","filename":"IPSJ-Z86-5W-06.pdf","filesize":[{"value":"275.8 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"762f4c7e-721e-434f-92d0-c8cfc8b1a251","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2024 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"大森, 周"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"横井, 健"}],"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":"深層学習を用いて株価変動を予測するというタスクにおいて、予測に影響を与えた要因を分析することは、商業利用をする際に重要となる。したがって本研究ではニュース記事から株価変動を予想するNNにXAI(説明可能なAI)の技術を応用し、どのようなニュース記事や単語が株価変動の予測に影響を与えたのかを分析することを目的とする。具体的にはニュース記事の見出しの極性分析スコアと日経平均株価を入力として翌日のその株価の上下を予測するモデルを構築し、そのモデルに対してLIMEやSHAPといった様々なXAIの技術を適用した結果を比較することで、予測結果に影響を与えている見出しや単語の分析を試みる。","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"918","bibliographic_titles":[{"bibliographic_title":"第86回全国大会講演論文集"}],"bibliographicPageStart":"917","bibliographicIssueDates":{"bibliographicIssueDate":"2024-03-01","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2024"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":236291,"links":{}}