{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00215083","sets":["6504:10735:10808"]},"path":["10808"],"owner":"44499","recid":"215083","title":["金融極性辞書を用いたニューステキスト分析による経済動向予測"],"pubdate":{"attribute_name":"公開日","attribute_value":"2021-03-04"},"_buckets":{"deposit":"68f8c567-4013-42f7-b234-0ffae0f98eda"},"_deposit":{"id":"215083","pid":{"type":"depid","value":"215083","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"金融極性辞書を用いたニューステキスト分析による経済動向予測","author_link":["553596","553597"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"金融極性辞書を用いたニューステキスト分析による経済動向予測"}]},"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":"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":"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/215083/files/IPSJ-Z83-4S-06.pdf","label":"IPSJ-Z83-4S-06.pdf"},"date":[{"dateType":"Available","dateValue":"2021-12-28"}],"format":"application/pdf","filename":"IPSJ-Z83-4S-06.pdf","filesize":[{"value":"1.2 MB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"d88f89f9-9f51-49d1-8f75-8a4de1d150d3","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":"川崎, 拓海"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"穴田, 一"}],"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":"金融専門極性辞書を用いたニューステキスト分析による東証株価指数(TOPIX)の株価予測を提案する. 本手法では予測前営業日の見出しのテキストデータから一定割合以上の株価上昇確率と極性値閾値を満たす単語を特徴語として抽出する. そして学習データを用いて，テキストにその特徴語が出現した際 TOPIXの株価が上昇したか否かをSVMを用いて学習し,テストデータを用いてその有効性を確認した.","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"570","bibliographic_titles":[{"bibliographic_title":"第83回全国大会講演論文集"}],"bibliographicPageStart":"569","bibliographicIssueDates":{"bibliographicIssueDate":"2021-03-04","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2021"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":215083,"updated":"2025-01-19T16:19:47.601747+00:00","links":{},"created":"2025-01-19T01:15:51.925309+00:00"}