{"created":"2023-06-20T16:49:05.448776+00:00","id":21197,"links":{},"metadata":{"_buckets":{"deposit":"7b2eb246-54ef-4ff6-95c6-d2f913078954"},"_deposit":{"created_by":3,"id":"21197","owners":[3],"pid":{"revision_id":0,"type":"depid","value":"21197"},"status":"published"},"_oai":{"id":"oai:kindai.repo.nii.ac.jp:00021197","sets":["14:923:1081:4611"]},"author_link":["36256"],"item_2_biblio_info_21":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2020-09-30","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicPageEnd":"219","bibliographicPageStart":"195","bibliographicVolumeNumber":"67","bibliographic_titles":[{"bibliographic_title":"商経学叢"},{"bibliographic_title":"Shokei-gakuso: Journal of Business Studies","bibliographic_titleLang":"en"}]}]},"item_2_description_33":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"[本旨]２０２０年５月２１日から３０日の期間，「新型コロナウィルス」に関する Twitter のツィートデータを取得して，テキストマイニングを行った。その結果，緊急事態宣言の解除がもたらした影響について Twitter のツィートデータ上どのようにとらえられているかが分かった。経済活動の再開に関するツィートが多い一方，後半以降新たな感染者の発生に関するツィートが既に増加していることがわかった。\n[Abstract] The purpose of this research is to analyze the effects of lifting the state of emergency by collecting data of tweets in Twitter related to COVID-19. The Japanese government lifted it for Osaka, Kyoto and Hyogo on 21 May, for other prefectures on 25 May, 2020. This research was conducted from 21 to 30 May 2020. The results of text mining imply that tweets of the restart of economic activities can be observed through this period, and on other hand tweets which concern the emerge of infected persons by COVID-19 have already increased in the second half of this period.","subitem_description_type":"Abstract"}]},"item_2_description_41":{"attribute_name":"フォーマット","attribute_value_mlt":[{"subitem_description":"application/pdf","subitem_description_type":"Other"}]},"item_2_publisher_14":{"attribute_name":"出版者 名前","attribute_value_mlt":[{"subitem_publisher":"近畿大学商経学会"}]},"item_2_source_id_22":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"04502825","subitem_source_identifier_type":"ISSN"}]},"item_2_text_7":{"attribute_name":"著者(英)","attribute_value_mlt":[{"subitem_text_language":"en","subitem_text_value":"Minetaki, Kazunori"}]},"item_2_text_8":{"attribute_name":"著者 所属","attribute_value_mlt":[{"subitem_text_value":"近畿大学経営学部; 教授"}]},"item_2_text_9":{"attribute_name":"著者所属(翻訳)","attribute_value_mlt":[{"subitem_text_value":"Kindai University"}]},"item_2_version_type_12":{"attribute_name":"版","attribute_value_mlt":[{"subitem_version_resource":"http://purl.org/coar/version/c_be7fb7dd8ff6fe43","subitem_version_type":"NA"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"峰滝, 和典"},{"creatorName":"ミネタキ, カズノリ","creatorNameLang":"ja-Kana"}],"nameIdentifiers":[{}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2020-10-19"}],"displaytype":"detail","filename":"AN10437975-20200930-0195.pdf","filesize":[{"value":"2.1 MB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"AN10437975-20200930-0195.pdf","url":"https://kindai.repo.nii.ac.jp/record/21197/files/AN10437975-20200930-0195.pdf"},"version_id":"b04f37d6-0cac-4c28-b9e5-783d4ffba22f"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"Twitter","subitem_subject_scheme":"Other"},{"subitem_subject":"新型コロナウィルス","subitem_subject_scheme":"Other"},{"subitem_subject":"テキストマイニング","subitem_subject_scheme":"Other"},{"subitem_subject":"共起ネットワーク","subitem_subject_scheme":"Other"},{"subitem_subject":"階層的クラスター分析","subitem_subject_scheme":"Other"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourcetype":"departmental bulletin paper","resourceuri":"http://purl.org/coar/resource_type/c_6501"}]},"item_title":"〈論文〉Twitter データを利用した「新型コロナウィルス」関連語句の分析","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"〈論文〉Twitter データを利用した「新型コロナウィルス」関連語句の分析"},{"subitem_title":"〈Articles〉Text mining of tweets related to COVID-19","subitem_title_language":"en"}]},"item_type_id":"2","owner":"3","path":["4611"],"pubdate":{"attribute_name":"公開日","attribute_value":"2020-10-19"},"publish_date":"2020-10-19","publish_status":"0","recid":"21197","relation_version_is_last":true,"title":["〈論文〉Twitter データを利用した「新型コロナウィルス」関連語句の分析"],"weko_creator_id":"3","weko_shared_id":3},"updated":"2023-06-20T20:11:36.138312+00:00"}