{"links":{},"id":182878,"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00182878","sets":["1164:4961:9053:9221"]},"path":["9221"],"owner":"11","recid":"182878","title":["新聞記事に対するトピックモデルの適用とトピックの時系列変化に関する考察"],"pubdate":{"attribute_name":"公開日","attribute_value":"2017-07-28"},"_buckets":{"deposit":"a58ca051-93e4-4337-9f6e-f2b80dd632d6"},"_deposit":{"id":"182878","pid":{"type":"depid","value":"182878","revision_id":0},"owners":[11],"status":"published","created_by":11},"item_title":"新聞記事に対するトピックモデルの適用とトピックの時系列変化に関する考察","author_link":["399616","399615"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"新聞記事に対するトピックモデルの適用とトピックの時系列変化に関する考察"},{"subitem_title":"A Study on Application of Topic Model to Newspaper Articles and Time Series Change of Topic","subitem_title_language":"en"}]},"item_type_id":"4","publish_date":"2017-07-28","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"東京大学史料編纂所／東京大学地震火山史料連携研究機構"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Historiographical Institute The University of Tokyo / Collaborative Research Organization for Historical Materials on Earthquakes and Volcanoes The University of Tokyo","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/182878/files/IPSJ-CH17115001.pdf","label":"IPSJ-CH17115001.pdf"},"date":[{"dateType":"Available","dateValue":"2019-07-28"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-CH17115001.pdf","filesize":[{"value":"2.7 MB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"660","billingrole":"5"},{"tax":["include_tax"],"price":"330","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"24"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"6d865621-498b-4568-abae-ece41ded054c","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2017 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"山田, 太造"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Taizo, Yamada","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN1010060X","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":"2188-8957","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 2010 年から 2015 年の 6 年間に発行された新聞記事を対象にトピックモデル LDA (Latent Dirichlet Allocation) を適用し，検出されたトピックの時系列変化について考察する．LDA を用いた，イベントとそれに関連する記事を自動的に収集 ・ 提示する方法，および関連するトピックの提示方法についても示す．また，トピックに属する用語の時系列変化によるトピックの時系列変化を示す．さらに，本手法の地域研究への適用可能性や今後の展開について述べる．","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"In the paper, we apply LDA (Latent Dirichlet Allocation) as a topic model to newspaper articles issued in 6 years from 2010 to 2015 and consider the time series change of detected topics. We show a method of automatically collecting and presenting events and articles which are related to topics using LDA. We also show the time series change of topics by time series change of terms belonging to the topics. In addition, we describe the applicability of the method to area studies and future works.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"5","bibliographic_titles":[{"bibliographic_title":"研究報告人文科学とコンピュータ（CH）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2017-07-28","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2017-CH-115"}]},"relation_version_is_last":true,"weko_creator_id":"11"},"created":"2025-01-19T00:50:26.866188+00:00","updated":"2025-01-20T03:53:39.094750+00:00"}