{"updated":"2025-01-19T20:49:40.960133+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00202605","sets":["6394:10066:10067"]},"path":["10067"],"owner":"44499","recid":"202605","title":["大量ツイートの収集・分析を個人で手軽に実現可能にする方法の提案"],"pubdate":{"attribute_name":"公開日","attribute_value":"2020-01-15"},"_buckets":{"deposit":"73a68864-a40d-4f62-871f-906196726b47"},"_deposit":{"id":"202605","pid":{"type":"depid","value":"202605","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"大量ツイートの収集・分析を個人で手軽に実現可能にする方法の提案","author_link":["497559","497561","497560"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"大量ツイートの収集・分析を個人で手軽に実現可能にする方法の提案"}]},"item_type_id":"21","publish_date":"2020-01-15","item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_21_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"（有）ユニバーサル・シェル・プログラミング研究所"},{"subitem_text_value":"（有）ユニバーサル・シェル・プログラミング研究所"},{"subitem_text_value":"金沢大学総合メディア基盤センター／慶應義塾大学SFC研究所"}]},"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/202605/files/IPSJ-DP1101013.pdf","label":"IPSJ-DP1101013.pdf"},"date":[{"dateType":"Available","dateValue":"2020-01-15"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-DP1101013.pdf","filesize":[{"value":"900.8 kB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"0","billingrole":"5"},{"tax":["include_tax"],"price":"0","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"47533122-3496-4a4f-b5b5-3d500b6913d0","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2020 by the Information Processing Society of Japan"}]},"item_21_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"松浦, 智之"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"當仲, 寛哲"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"大野, 浩之"}],"nameIdentifiers":[{}]}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_6501","resourcetype":"journal article"}]},"item_21_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA1245124X","subitem_source_identifier_type":"NCID"}]},"item_21_source_id_11":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"2188-4390","subitem_source_identifier_type":"ISSN"}]},"item_21_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"短文投稿SNS“Twitter”は今や多くの人々に認知され，NHKを始めとした日々のニュース番組等においても，もはやTwitterやツイート（Twitterに投稿される文章）が何かという説明が省略されながら，世論を反映した情報源として引用あるいは分析されている．しかしながら，社会現象のような膨大な量のツイートを発生させる話題を分析しようとなると，すでによく知られている方法では費用的にも技術的にも個人には敷居が高い．本稿では，一定の制約はある中でも，個人による大量ツイートデータの収集・分析を実現し得る手法を提案し，実際に，日本国内で社会現象を起こして大量のツイートを発生させた2つの話題に関するツイートの収集・分析を行うことで，提案手法の実用性を示している． ","subitem_description_type":"Other"}]},"item_21_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"190","bibliographic_titles":[{"bibliographic_title":"デジタルプラクティス"}],"bibliographicPageStart":"173","bibliographicIssueDates":{"bibliographicIssueDate":"2020-01-15","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"11"}]},"relation_version_is_last":true,"item_21_alternative_title_2":{"attribute_name":"その他タイトル","attribute_value_mlt":[{"subitem_alternative_title":"推薦論文"}]},"weko_creator_id":"44499"},"created":"2025-01-19T01:05:09.723829+00:00","id":202605,"links":{}}