{"created":"2025-01-19T00:34:34.685549+00:00","updated":"2025-01-20T11:41:28.397452+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00162535","sets":["6504:8672:8736"]},"path":["8736"],"owner":"6748","recid":"162535","title":["ニューラルネット言語モデルによる Twitter 上の発言からの5因子モデルに基づく性格分析"],"pubdate":{"attribute_name":"公開日","attribute_value":"2016-03-10"},"_buckets":{"deposit":"9aadb825-b705-43fe-89c9-3007562179fd"},"_deposit":{"id":"162535","pid":{"type":"depid","value":"162535","revision_id":0},"owners":[6748],"status":"published","created_by":6748},"item_title":"ニューラルネット言語モデルによる Twitter 上の発言からの5因子モデルに基づく性格分析","author_link":["317216","317217","317219","317218"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"ニューラルネット言語モデルによる Twitter 上の発言からの5因子モデルに基づく性格分析"}]},"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":"2016-03-10","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":"東京工科大"},{"subitem_text_value":"東京工科大"},{"subitem_text_value":"愛知淑徳大学"},{"subitem_text_value":"東京工科大"}]},"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/162535/files/IPSJ-Z78-5B-02.pdf","label":"IPSJ-Z78-5B-02.pdf"},"date":[{"dateType":"Available","dateValue":"2016-05-19"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-Z78-5B-02.pdf","filesize":[{"value":"200.9 kB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"0","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"8"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"df6e4f55-7a40-4d86-af1a-b75c5ea5a4cf","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2016 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"塚野, 駿"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"柴田, 千尋"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"政倉, 祐子"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"田胡, 和哉"}],"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":"本稿ではTwitterの発言から性格分析を行う新たな手法について述べる．従来研究においてよく利用される性格分析のモデルとしては，性格特性論の一つである5因子モデルが有名であるが，その手法はアンケートの結果に基づく各個人の自己による性格分析であり，第三者による性格判断とは異なる．そこで，本研究では，まず，twitterの利用者に対し，TIPI-Jを参考としたアンケートを通して5因子モデルによる性格分析を行い，その結果とtwitterの発言内容に基づく第三者による性格判定の結果とを比較して，両者の関係性を明らかにする．また，それとは別に，ニューラルネット言語モデルを用いて，twitterの発言内容と第三者による性格判定の結果をデータとして学習を行う．その後，両者の結果を用いることで，発言内容から直接5因子モデルと近似した性格分析を行う．","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"4","bibliographic_titles":[{"bibliographic_title":"第78回全国大会講演論文集"}],"bibliographicPageStart":"3","bibliographicIssueDates":{"bibliographicIssueDate":"2016-03-10","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2016"}]},"relation_version_is_last":true,"weko_creator_id":"6748"},"id":162535,"links":{}}