{"updated":"2025-01-19T16:19:19.637280+00:00","links":{},"created":"2025-01-19T01:15:52.931547+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00215101","sets":["6504:10735:10808"]},"path":["10808"],"owner":"44499","recid":"215101","title":["インフルエンサーツイート分類モデルと転移学習を用いた重要意見抽出"],"pubdate":{"attribute_name":"公開日","attribute_value":"2021-03-04"},"_buckets":{"deposit":"61709d0f-e989-4b1f-8a79-4597e83ea1f5"},"_deposit":{"id":"215101","pid":{"type":"depid","value":"215101","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"インフルエンサーツイート分類モデルと転移学習を用いた重要意見抽出","author_link":["553658","553657"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"インフルエンサーツイート分類モデルと転移学習を用いた重要意見抽出"}]},"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":"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/215101/files/IPSJ-Z83-6S-09.pdf","label":"IPSJ-Z83-6S-09.pdf"},"date":[{"dateType":"Available","dateValue":"2021-12-28"}],"format":"application/pdf","filename":"IPSJ-Z83-6S-09.pdf","filesize":[{"value":"242.1 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"7f865627-723a-4bbd-906f-8692e3b79d7b","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":"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":"近年，インターネット環境やスマートフォンの普及によりインターネットの利用者が増加したため，インターネット上には多くの意見が投稿されている．それらの中には，企業がサービスの開発や改善を行なっていく上で重要度の高いものが存在している．しかし，重要意見は含まれる割合が少ない不均衡なデータであり，十分なデータ数を確保することが難しい．本研究では，この問題を解決するために，少量の教師データからでも高精度なモデルを構築することができる転移学習を用いる。具体的には、アノテーションを必要としないインフルエンサーツイート分類モデルから重要意見抽出モデルを構築し、その精度を検証する．","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"610","bibliographic_titles":[{"bibliographic_title":"第83回全国大会講演論文集"}],"bibliographicPageStart":"609","bibliographicIssueDates":{"bibliographicIssueDate":"2021-03-04","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2021"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":215101}