{"updated":"2025-01-21T10:19:25.027515+00:00","links":{},"id":104493,"created":"2025-01-18T23:48:32.139381+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00104493","sets":["6504:7684:7679"]},"path":["7679"],"owner":"6748","recid":"104493","title":["Twitterにおける検索語と関連の高い地名の抽出手法の研究"],"pubdate":{"attribute_name":"公開日","attribute_value":"2014-03-11"},"_buckets":{"deposit":"f71018e2-6a2a-48ba-b3c0-fad88502d03a"},"_deposit":{"id":"104493","pid":{"type":"depid","value":"104493","revision_id":0},"owners":[6748],"status":"published","created_by":6748},"item_title":"Twitterにおける検索語と関連の高い地名の抽出手法の研究","author_link":["4752","4751"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Twitterにおける検索語と関連の高い地名の抽出手法の研究"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"データベースとメディア","subitem_subject_scheme":"Other"}]},"item_type_id":"22","publish_date":"2014-03-11","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/104493/files/IPSJ-Z76-3M-7.pdf"},"date":[{"dateType":"Available","dateValue":"2014-10-02"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-Z76-3M-7.pdf","filesize":[{"value":"285.4 kB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"c74f6aa8-27b4-417d-98ff-312557072ec2","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2014 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"原克彬"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"中山泰一"}],"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":"Twitterは2006年から開始された短文投稿サービスであり、急速にそのユーザ数を伸ばしてきた。多数のユーザを抱えるTwitterの情報量は膨大なものであり、またリアルタイム性なども併せ持つことから、その情報を利用した研究が盛んに行われてきた。本研究ではTwitterから特定のキーワードを含む最新のツイートを取得し、ツイートからキーワードと関連度の高い地名を抽出するのを目的とする。なお、本研究における特定のキーワードというのは主に出来事に関する物である。Twitterの情報を利用することで、ユーザが吟味した重要度の高い情報とTwitter特有のリアルタイム性に富んだ情報をまとめて得ることが出来るのではないかと考えている。","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"506","bibliographic_titles":[{"bibliographic_title":"第76回全国大会講演論文集"}],"bibliographicPageStart":"505","bibliographicIssueDates":{"bibliographicIssueDate":"2014-03-11","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2014"}]},"relation_version_is_last":true,"weko_creator_id":"6748"}}