{"links":{},"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00221156","sets":["6504:11035:11043"]},"path":["11043"],"owner":"44499","recid":"221156","title":["BERTによる特徴抽出を駆使した商品レビュー分析モデルに関する一考察"],"pubdate":{"attribute_name":"公開日","attribute_value":"2022-02-17"},"_buckets":{"deposit":"8aca1d28-d22f-4b60-bfe1-331c8a6783d6"},"_deposit":{"id":"221156","pid":{"type":"depid","value":"221156","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"BERTによる特徴抽出を駆使した商品レビュー分析モデルに関する一考察","author_link":["578848","578851","578849","578850"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"BERTによる特徴抽出を駆使した商品レビュー分析モデルに関する一考察"}]},"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":"2022-02-17","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":"早大"},{"subitem_text_value":"早大"},{"subitem_text_value":"早大"},{"subitem_text_value":"早大"}]},"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/221156/files/IPSJ-Z84-6W-03.pdf","label":"IPSJ-Z84-6W-03.pdf"},"date":[{"dateType":"Available","dateValue":"2022-10-22"}],"format":"application/pdf","filename":"IPSJ-Z84-6W-03.pdf","filesize":[{"value":"261.6 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"24b823c2-3d7b-4dfd-9b39-77ff092fee9f","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2022 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"山下, 皓太郎"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"雲居, 玄道"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"蓮本, 恭輔"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"後藤, 正幸"}],"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，ECサイト上で商品に対するレビューデータが大量に共有されている．これら商品レビューは他の顧客の購買行動に直接的な影響を与えやすいため，メーカーにとっては重要な情報源となっている．このような統一性のない文書集合を分析する上で問題となる類義語の扱いなどに対し，従来はシソーラスなどの辞書が用いられていきたが，近年は大規模文書データからの学習済みモデルであるBERTと呼ばれる自然言語処理技術が注目を浴びている．そこで，本研究ではBERTを用いて商品レビューデータから今後のマーケティング活動に資する知識の抽出が可能な分析手法の提案を行う．またECサイト上の商品レビューデータに提案手法を適用し，その有用性を示す．","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"842","bibliographic_titles":[{"bibliographic_title":"第84回全国大会講演論文集"}],"bibliographicPageStart":"841","bibliographicIssueDates":{"bibliographicIssueDate":"2022-02-17","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2022"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"created":"2025-01-19T01:21:10.130179+00:00","updated":"2025-01-19T14:16:33.230926+00:00","id":221156}