{"created":"2025-01-19T01:34:36.701300+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00233270","sets":["1164:3925:11477:11523"]},"path":["11523"],"owner":"44499","recid":"233270","title":["SNS上の口コミの分析による正当性評価"],"pubdate":{"attribute_name":"公開日","attribute_value":"2024-03-11"},"_buckets":{"deposit":"6d50924f-2d0d-4e07-aa18-52645d5df214"},"_deposit":{"id":"233270","pid":{"type":"depid","value":"233270","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"SNS上の口コミの分析による正当性評価","author_link":["633286","633287","633285"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"SNS上の口コミの分析による正当性評価"},{"subitem_title":"Legitimacy Assessment Through Analysis of Word-of-Mouth on SNS","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"予測・推定・検知","subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2024-03-11","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"法政大学大学院理工学研究科応用情報工学専攻"},{"subitem_text_value":"法政大学理工学部応用情報工学科"},{"subitem_text_value":"法政大学大学院理工学研究科応用情報工学専攻"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Department of Applied Informatics, Graduate School of Science and Engineering, HOSEI University","subitem_text_language":"en"},{"subitem_text_value":"Department of Applied Informatics, Faculty of Science and Engineering, HOSEI University","subitem_text_language":"en"},{"subitem_text_value":"Department of Applied Informatics, Graduate School of Science and Engineering, HOSEI University","subitem_text_language":"en"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"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/233270/files/IPSJ-CSEC24104056.pdf","label":"IPSJ-CSEC24104056.pdf"},"date":[{"dateType":"Available","dateValue":"2026-03-11"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-CSEC24104056.pdf","filesize":[{"value":"382.1 kB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"660","billingrole":"5"},{"tax":["include_tax"],"price":"330","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"30"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"638b449e-7f44-4c03-a060-5ca6bdd4839e","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2024 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"高橋, 藍子"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"呉, 謙"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"金井, 敦"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA11235941","subitem_source_identifier_type":"NCID"}]},"item_4_textarea_12":{"attribute_name":"Notice","attribute_value_mlt":[{"subitem_textarea_value":"SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc."}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_18gh","resourcetype":"technical report"}]},"item_4_source_id_11":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"2188-8655","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"近年，口コミの影響力が大きくなり，企業側では SNS マーケティングが重要視されており，口コミから有益な情報を分析する必要性が高まっている．しかし，口コミの中には誹謗中傷などの悪意のあるものも含まれており，そのようなデータを分類して除外する必要がある．そこで，口コミの内容がポジティブかネガティブかを判別できる感情分析が有効と考えられる．本研究では，ある特定の商品の SNS 上の投稿を分析することにより，機械学習を用いて悪意の有無を判定し，より正確な商品の評価が可能となる方式を検討する．評価のために約 12,000 件の投稿を用いて特徴量を明確にした．","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"6","bibliographic_titles":[{"bibliographic_title":"研究報告コンピュータセキュリティ（CSEC）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2024-03-11","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"56","bibliographicVolumeNumber":"2024-CSEC-104"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":233270,"updated":"2025-01-19T10:09:09.974479+00:00","links":{}}