{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00215062","sets":["6504:10735:10808"]},"path":["10808"],"owner":"44499","recid":"215062","title":["Tweet日本語感情コーパスに対するBERTの効果の検証"],"pubdate":{"attribute_name":"公開日","attribute_value":"2021-03-04"},"_buckets":{"deposit":"58ae11d3-f149-4e66-8632-36f6499260f3"},"_deposit":{"id":"215062","pid":{"type":"depid","value":"215062","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"Tweet日本語感情コーパスに対するBERTの効果の検証","author_link":["553530","553533","553532","553531"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Tweet日本語感情コーパスに対するBERTの効果の検証"}]},"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":"徳島大"},{"subitem_text_value":"徳島大"},{"subitem_text_value":"徳島大"},{"subitem_text_value":"徳島大"}]},"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/215062/files/IPSJ-Z83-1S-01.pdf","label":"IPSJ-Z83-1S-01.pdf"},"date":[{"dateType":"Available","dateValue":"2021-12-28"}],"format":"application/pdf","filename":"IPSJ-Z83-1S-01.pdf","filesize":[{"value":"644.7 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"e15c0d88-ccab-4b6f-9c66-815e044c2368","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":"池上, 達也"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"任, 福継"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"西出, 俊"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"康, 鑫"}],"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":"Twitterでは, 多くのユーザが多様な言語表現によりコミュニケーションをとっている.そのため, Twitterを利用した感情分析研究は多くの成果を示している.しかし, Twitterには数多くのTweetが存在しており, その全てを分析することは困難であるため, Twitterの分析にはよく能動学習手法が用いられる.しかし, ユーザが特有な表現を使用していることもあるため,正確なテキスト選択は難しい.本稿では, 能動学習によって作成されたTweet日本語感情コーパスへのBERTの効果を検証することで, 今後の日本語のテキストを対象とした感情分析研究の発展の足掛かりとする.","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"528","bibliographic_titles":[{"bibliographic_title":"第83回全国大会講演論文集"}],"bibliographicPageStart":"527","bibliographicIssueDates":{"bibliographicIssueDate":"2021-03-04","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2021"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":215062,"updated":"2025-01-19T16:20:20.355544+00:00","links":{},"created":"2025-01-19T01:15:50.746794+00:00"}