{"created":"2025-01-19T00:42:13.865036+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00171775","sets":["1164:5336:8617:8867"]},"path":["8867"],"owner":"11","recid":"171775","title":["SNSを用いた視覚的日記自動生成システム「Feeling Diary」"],"pubdate":{"attribute_name":"公開日","attribute_value":"2016-07-29"},"_buckets":{"deposit":"546ba623-c240-4dc7-bf16-510944a214d5"},"_deposit":{"id":"171775","pid":{"type":"depid","value":"171775","revision_id":0},"owners":[11],"status":"published","created_by":11},"item_title":"SNSを用いた視覚的日記自動生成システム「Feeling Diary」","author_link":["348348","348357","348358","348356","348354","348355","348351","348349","348347","348353","348352","348350"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"SNSを用いた視覚的日記自動生成システム「Feeling 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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/171775/files/IPSJ-EC16041007.pdf","label":"IPSJ-EC16041007.pdf"},"date":[{"dateType":"Available","dateValue":"2018-07-29"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-EC16041007.pdf","filesize":[{"value":"4.7 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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":"2188-8914","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"本論文では，SNS の 「Twitter」 に投稿された内容から，視覚的にわかる日記を自動で生成するシステム 「Feeling Diary」 について述べる．Twitter への投稿から自然言語処理を用いて 1 日の特徴語及び感情情報を推定し，日々の出来事を視覚的に記録していくライフログシステム 「Feeling Diary」 を開発した．「Feeling Diary」 は，ユーザの Twitter への投稿から自然言語処理を用いて特徴語の抽出と感情クラス分類を行い，3D モデルと 4 色の感情照明に変換して配置することで，直感的なライフログシステムを実現する．","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"6","bibliographic_titles":[{"bibliographic_title":"研究報告エンタテインメントコンピューティング（EC）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2016-07-29","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"7","bibliographicVolumeNumber":"2016-EC-41"}]},"relation_version_is_last":true,"weko_creator_id":"11"},"links":{},"id":171775,"updated":"2025-01-20T08:02:28.624705+00:00"}