{"links":{},"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:02002793","sets":["1164:3500:11905:1749688857565"]},"path":["1749688857565"],"owner":"80578","recid":"2002793","title":["ウェブ掲示板における人名同定の試み"],"pubdate":{"attribute_name":"PubDate","attribute_value":"2025-06-20"},"_buckets":{"deposit":"6b9cb6e3-67c7-44f8-9282-1bb2f2b7b0eb"},"_deposit":{"id":"2002793","pid":{"type":"depid","value":"2002793","revision_id":0},"owners":[80578],"status":"published","created_by":80578},"item_title":"ウェブ掲示板における人名同定の試み","author_link":[],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"ウェブ掲示板における人名同定の試み","subitem_title_language":"ja"},{"subitem_title":"Preliminary Results of Personal Name Identification on Web BBS","subitem_title_language":"en"}]},"item_type_id":"4","publish_date":"2025-06-20","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"現在，筑波大学"},{"subitem_text_value":"現在，筑波大学"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Presently with Uniersity of Tsukuba","subitem_text_language":"en"},{"subitem_text_value":"Presently with Uniersity of Tsukuba","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/2002793/files/IPSJ-IFAT25159002.pdf","label":"IPSJ-IFAT25159002.pdf"},"date":[{"dateType":"Available","dateValue":"2027-06-20"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-IFAT25159002.pdf","filesize":[{"value":"944.6 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":"39"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"e932b3a5-1b79-4d5f-9ae6-7929f586a8a5","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2025 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"豊田,万葉"}]},{"creatorNames":[{"creatorName":"高久,雅生"}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Mayo Toyoda","creatorNameLang":"en"}]},{"creatorNames":[{"creatorName":"Masao Takaku","creatorNameLang":"en"}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN10114171","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":"2188-8884","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"ウェブ掲示板における投稿が誰に対する誹謗中傷かを判定する際に、複数の名称がある人物については、どの人名が同じ人物を指しているかを判定することも必要である。本研究では文章ベクトルの類似度を用いることで、本タスクを解決することを試みた(手法A)。手法Aでは類似度の閾値を0.80としたときに最も良い結果となり、このときの適合率は最も高くて0.40、再現率は最も高くて1.00だった。また、Google検索結果の共起を用いる手法Bでは、手法Aからの改善は見られなかった。","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"When one judges whom a post slanders on Web BBS, it is necessary to find which name indicates the same person if one person has several names. In this study, we proposed a method using the similarities of text vectors (method A). For method A, the result was the best when the threshold was 0.80, the highest precision rate was 0.40, and the highest recall rate was 1.00. Also, we tried method B, which uses the co-occurrence relation of the Google search results, but it did not improve.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"5","bibliographic_titles":[{"bibliographic_title":"研究報告情報基礎とアクセス技術（IFAT）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2025-06-20","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"2","bibliographicVolumeNumber":"2025-IFAT-159"}]},"relation_version_is_last":true,"weko_creator_id":"80578"},"updated":"2025-06-12T00:50:59.901370+00:00","created":"2025-06-12T00:50:54.990636+00:00","id":2002793}