{"created":"2025-01-19T01:29:50.907863+00:00","updated":"2025-01-19T11:14:21.174835+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00230221","sets":["6504:11436:11440"]},"path":["11440"],"owner":"44499","recid":"230221","title":["SNSとBERTを用いた観光地に対する感情分析手法に関する研究"],"pubdate":{"attribute_name":"公開日","attribute_value":"2023-02-16"},"_buckets":{"deposit":"6e204fdb-c914-4a59-9611-069ed3a68ad9"},"_deposit":{"id":"230221","pid":{"type":"depid","value":"230221","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"SNSとBERTを用いた観光地に対する感情分析手法に関する研究","author_link":["619397","619398","619396"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"SNSとBERTを用いた観光地に対する感情分析手法に関する研究"}]},"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":"大阪電通大"},{"subitem_text_value":"大阪電通大"},{"subitem_text_value":"小松大"}]},"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/230221/files/IPSJ-Z85-7W-04.pdf","label":"IPSJ-Z85-7W-04.pdf"},"date":[{"dateType":"Available","dateValue":"2023-11-17"}],"format":"application/pdf","filename":"IPSJ-Z85-7W-04.pdf","filesize":[{"value":"459.6 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"3eb19d69-eb25-442b-8edc-6a6b23746a86","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":"滝口, 響也"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"中原, 匡哉"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"坂本, 一磨"}],"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":"観光業界では，コロナ禍による影響で観光客の人数が低迷している地域が現在も多数ある．低迷の原因や改善策を探る方法として，本音が投稿されやすいSNSの投稿内容を分析する方法が挙げられるが，膨大な投稿内容を人手で分析するのは現実的ではない．既存研究では，単語感情極性対応表を用いる手法が提案されている．これにより，ネガティブな投稿を収集し，観光地が抱える潜在的な問題点を洗い出し，改善策を探ることが期待できる．しかし，SNSの投稿情報はユーザ独自の文法や表現になりやすいため，対応表で定義する表現と一致せず，判定精度が低下しやすい．そこで，本研究ではBERTを用いて投稿内容全体を学習し，ポジネガ判定する手法を提案する．","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"872","bibliographic_titles":[{"bibliographic_title":"第85回全国大会講演論文集"}],"bibliographicPageStart":"871","bibliographicIssueDates":{"bibliographicIssueDate":"2023-02-16","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2023"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":230221,"links":{}}