{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00230218","sets":["6504:11436:11440"]},"path":["11440"],"owner":"44499","recid":"230218","title":["ツイートデータを活用した意見抽出モデルの構築と精度改善"],"pubdate":{"attribute_name":"公開日","attribute_value":"2023-02-16"},"_buckets":{"deposit":"a9cf44cb-9bad-4e75-bdc0-4ce36165a01e"},"_deposit":{"id":"230218","pid":{"type":"depid","value":"230218","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"ツイートデータを活用した意見抽出モデルの構築と精度改善","author_link":["619390","619389"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"ツイートデータを活用した意見抽出モデルの構築と精度改善"}]},"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":"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":"明大"},{"subitem_text_value":"明大"}]},"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/230218/files/IPSJ-Z85-7W-01.pdf","label":"IPSJ-Z85-7W-01.pdf"},"date":[{"dateType":"Available","dateValue":"2023-11-17"}],"format":"application/pdf","filename":"IPSJ-Z85-7W-01.pdf","filesize":[{"value":"201.3 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"ea843c2a-0ec9-46fb-ab97-7c8c05874b4e","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":"間明, 拓海"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"櫻井, 義尚"}],"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":"SNS に発信されている投稿の中には企業がマーケティングを行なっていく上で重要となる意見が存在しているが,割合が少なく,膨大な数の投稿の中から手動で抽出を行うことは現実的ではない.そのため,意見抽出の研究が行われているが,機械学習により意見抽出モデルを構築する場合,ランダムに取得したツイー トをアノテーションすることで教師データを作成すると不均衡データとなるため,大量の教師データを作成することが難しく,精度に課題がある.本研究では,機械的に特定のツイートを分類してラベルとする自己教師あり学習を用いてソースモデルを構築し,転移学習を行うことで意見抽出モデルの精度向上を試み,その有用性を検証する.","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"866","bibliographic_titles":[{"bibliographic_title":"第85回全国大会講演論文集"}],"bibliographicPageStart":"865","bibliographicIssueDates":{"bibliographicIssueDate":"2023-02-16","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2023"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":230218,"updated":"2025-01-19T11:14:26.732270+00:00","links":{},"created":"2025-01-19T01:29:50.616742+00:00"}