{"created":"2025-01-19T01:38:16.196156+00:00","updated":"2025-01-19T09:18:57.779153+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00236296","sets":["6504:11678:11689"]},"path":["11689"],"owner":"44499","recid":"236296","title":["大規模言語モデルを用いたSNS投稿からの精神疾患の推測"],"pubdate":{"attribute_name":"公開日","attribute_value":"2024-03-01"},"_buckets":{"deposit":"02451075-79bd-48ee-8d36-a6709d1afcc2"},"_deposit":{"id":"236296","pid":{"type":"depid","value":"236296","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"大規模言語モデルを用いたSNS投稿からの精神疾患の推測","author_link":["645862","645863","645864"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"大規模言語モデルを用いたSNS投稿からの精神疾患の推測"}]},"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":"2024-03-01","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":"静岡大"},{"subitem_text_value":"慶大"},{"subitem_text_value":"静岡大"}]},"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/236296/files/IPSJ-Z86-6W-02.pdf","label":"IPSJ-Z86-6W-02.pdf"},"date":[{"dateType":"Available","dateValue":"2024-07-03"}],"format":"application/pdf","filename":"IPSJ-Z86-6W-02.pdf","filesize":[{"value":"342.0 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"e739b522-f9fc-41b9-a5e6-b1cdd936cd48","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2024 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"滝波, 秋穂"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"岸本, 泰士郎"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"狩野, 芳伸"}],"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":"本研究では、SNSに投稿された文章を用いて発信者に精神疾患の傾向があるかどうか、専門医の診断付き患者のツイートデータから、大規模言語モデルを用いて推測を試みる。昨今精神疾患の患者数増加が社会的な問題となっている。精神疾患の診断には迅速な診断が難しい、重症化するまで受診がされないといった問題があり、適切な治療の遅れは病状の悪化を招き、復帰を難しくしてしまう。SNSでの日々の発信を用いることで、精神疾患の早期発見の可能性がある。我々は、精神疾患及び健常者の診断が付いた協力者の投稿を使用した。実験は単語ベースと大規模言語モデルそれぞれのアプローチで推測を行い、結果を比較した。","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"928","bibliographic_titles":[{"bibliographic_title":"第86回全国大会講演論文集"}],"bibliographicPageStart":"927","bibliographicIssueDates":{"bibliographicIssueDate":"2024-03-01","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2024"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":236296,"links":{}}