{"updated":"2025-01-20T11:47:09.284170+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00161740","sets":["6504:8672:8729"]},"path":["8729"],"owner":"6748","recid":"161740","title":["Twitterの実況ツイートを利用したタイムライン上のネタバレ情報検知"],"pubdate":{"attribute_name":"公開日","attribute_value":"2016-03-10"},"_buckets":{"deposit":"898fc56b-3ac5-4df3-80e8-ad67cd9a5939"},"_deposit":{"id":"161740","pid":{"type":"depid","value":"161740","revision_id":0},"owners":[6748],"status":"published","created_by":6748},"item_title":"Twitterの実況ツイートを利用したタイムライン上のネタバレ情報検知","author_link":["314741","314740"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Twitterの実況ツイートを利用したタイムライン上のネタバレ情報検知"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"データとウェブ","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":"電通大"},{"subitem_text_value":"電通大"}]},"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/161740/files/IPSJ-Z78-6K-06.pdf","label":"IPSJ-Z78-6K-06.pdf"},"date":[{"dateType":"Available","dateValue":"2016-05-18"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-Z78-6K-06.pdf","filesize":[{"value":"178.0 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":"f082b9bd-2374-4350-b06b-96f431651964","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":"齊藤, 令"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"寺田, 実"}],"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, 興味があるが今必要のない情報の一例であるネタバレ情報がTwitterを始めとしたSNS内で目につきやすい環境になっている. 録画放送等でリアルタイムより遅れて楽しむユーザにとってネタバレ情報は脅威である. 本報告では, スポーツやゲーム等の試合に関するネタバレ情報をTwitter上の実況ツイートに含まれるネタバレツイートで特定する手法を提案する. 提案手法では, Twitter上の実況ツイート群から特徴語を単語出現頻度で抽出し, 特徴語辞書を作成する. この辞書を用いてサポートベクトルマシンによる機械学習を行い, ネタバレツイートの特定を試みる. Twitter上のプロ野球に関する実況ツイートを使用し, ネタバレツイートの推定の実験を行い, 提案手法の有効性を検証した.","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"540","bibliographic_titles":[{"bibliographic_title":"第78回全国大会講演論文集"}],"bibliographicPageStart":"539","bibliographicIssueDates":{"bibliographicIssueDate":"2016-03-10","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2016"}]},"relation_version_is_last":true,"weko_creator_id":"6748"},"created":"2025-01-19T00:34:27.562391+00:00","id":161740,"links":{}}