{"created":"2023-06-20T14:46:10.704941+00:00","id":353,"links":{},"metadata":{"_buckets":{"deposit":"a241f3e1-e37d-48e3-905f-9200afe8bf54"},"_deposit":{"created_by":10,"id":"353","owners":[10],"pid":{"revision_id":0,"type":"depid","value":"353"},"status":"published"},"_oai":{"id":"oai:takushoku-u.repo.nii.ac.jp:00000353","sets":["2:23:24:72"]},"author_link":["146","147"],"item_10002_biblio_info_7":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2020-03-26","bibliographicIssueDateType":"Issued"},"bibliographicPageEnd":"44","bibliographicPageStart":"27","bibliographicVolumeNumber":"117","bibliographic_titles":[{"bibliographic_title":"拓殖大学経営経理研究"},{"bibliographic_title":"Takushoku University research in management and accounting","bibliographic_titleLang":"en"}]}]},"item_10002_description_5":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"文献研究（法）は，研究活動を遂行する際の最も基本的な研究活動である。それにもかかわらず，文献研究の方法論については，各研究者が経験を通じて体得するものだと認識され，用いられるアプローチについても，あまり顧慮されることがない。本研究は，文献研究法に機械学習の一種であるテキストマイニング手法を適用し，その潜在的な可能性と有用性について考察した。テキストマイニングでは，確率的潜在意味解析（潜在ディリクリ配分法：LDA）という手法を用い，営業研究に特化した学術専門誌の掲載論文を対象に分析をおこなった。分析の結果，研究動向を指し示す五つのテーマを抽出することができた。文献研究にテキストマイニングを用いることの有用性は高く，今後盛んになる可能性がある。","subitem_description_type":"Abstract"}]},"item_10002_publisher_8":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"拓殖大学経営経理研究所"}]},"item_10002_source_id_9":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"13490281","subitem_source_identifier_type":"ISSN"}]},"item_10002_subject_21":{"attribute_name":"日本十進分類法","attribute_value_mlt":[{"subitem_subject":"007.1","subitem_subject_scheme":"NDC"}]},"item_10002_text_24":{"attribute_name":"種別","attribute_value_mlt":[{"subitem_text_value":"論文 / Article"}]},"item_10002_version_type_20":{"attribute_name":"著者版フラグ","attribute_value_mlt":[{"subitem_version_resource":"http://purl.org/coar/version/c_970fb48d4fbd8a85","subitem_version_type":"VoR"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"北中, 英明"},{"creatorName":"キタナカ, ヒデアキ","creatorNameLang":"ja-Kana"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Kitanaka, Hideaki","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2020-06-16"}],"displaytype":"detail","filename":"kk0117_01.pdf","filesize":[{"value":"1.5 MB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"テキストマイニングによる文献研究","url":"https://takushoku-u.repo.nii.ac.jp/record/353/files/kk0117_01.pdf"},"version_id":"ab7d422e-95d9-4a4b-abbb-684c727ce3be"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"文献研究","subitem_subject_scheme":"Other"},{"subitem_subject":"営業研究","subitem_subject_scheme":"Other"},{"subitem_subject":"テキストマイニング","subitem_subject_scheme":"Other"},{"subitem_subject":"確率的潜在意味解析","subitem_subject_scheme":"Other"},{"subitem_subject":"潜在ディリクリ配分法（LDA）","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":"テキストマイニングによる文献研究 ―営業研究分野への適用事例―","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"テキストマイニングによる文献研究 ―営業研究分野への適用事例―"},{"subitem_title":"A Literature Survey by Text Mining ―A Case of Application to Sales Research Field―","subitem_title_language":"en"}]},"item_type_id":"10002","owner":"10","path":["72"],"pubdate":{"attribute_name":"公開日","attribute_value":"2020-06-16"},"publish_date":"2020-06-16","publish_status":"0","recid":"353","relation_version_is_last":true,"title":["テキストマイニングによる文献研究 ―営業研究分野への適用事例―"],"weko_creator_id":"10","weko_shared_id":-1},"updated":"2023-06-20T14:57:37.376822+00:00"}