{"created":"2023-05-15T16:42:08.027124+00:00","id":17017,"links":{},"metadata":{"_buckets":{"deposit":"3fb7a718-1024-414a-90c5-0d039ffcbe8a"},"_deposit":{"created_by":2,"id":"17017","owners":[2],"pid":{"revision_id":0,"type":"depid","value":"17017"},"status":"published"},"_oai":{"id":"oai:nagasaki-u.repo.nii.ac.jp:00017017","sets":["14:65"]},"author_link":["66067","66069","66066","66068","66065","66070"],"item_9_biblio_info_6":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2009","bibliographicIssueDateType":"Issued"},"bibliographicPageEnd":"1834","bibliographicPageStart":"1831","bibliographic_titles":[{"bibliographic_title":"Proceeding of the 18th ACM conference on Information and knowledge management - CIKM '09"}]}]},"item_9_description_4":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"This paper presents a new Bayesian topical trend analysis. We regard the parameters of topic Dirichlet priors in latent Dirichlet allocation as a function of document timestamps and optimize the parameters by a gradient-based algorithm. Since our method gives similar hyperparameters to the documents having similar timestamps, topic assignment in collapsed Gibbs sampling is affected by timestamp similarities. We compute TFIDF-based document similarities by using a result of collapsed Gibbs sampling and evaluate our proposal by link detection task of Topic Detection and Tracking.","subitem_description_type":"Abstract"}]},"item_9_description_5":{"attribute_name":"内容記述","attribute_value_mlt":[{"subitem_description":"Proceeding of the 18th ACM conference : Hong Kong, China, 2009.11.02-2009.11.06","subitem_description_type":"Other"}]},"item_9_description_63":{"attribute_name":"引用","attribute_value_mlt":[{"subitem_description":"Proceeding of the 18th ACM conference on Information and knowledge management - CIKM '09, pp1831-1834; 2009","subitem_description_type":"Other"}]},"item_9_publisher_33":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"ACM Press"}]},"item_9_relation_12":{"attribute_name":"DOI","attribute_value_mlt":[{"subitem_relation_type":"isVersionOf","subitem_relation_type_id":{"subitem_relation_type_id_text":"10.1145/1645953.1646242","subitem_relation_type_select":"DOI"}}]},"item_9_relation_9":{"attribute_name":"ISBN","attribute_value_mlt":[{"subitem_relation_type_id":{"subitem_relation_type_id_text":"978-160558512-3","subitem_relation_type_select":"ISBN"}}]},"item_9_rights_13":{"attribute_name":"権利","attribute_value_mlt":[{"subitem_rights":"c ACM 2009. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in Proceeding of the 18th ACM conference on Information and knowledge management - CIKM '09. http://doi.acm.org/10.1145/1645953.1646242"}]},"item_9_version_type_16":{"attribute_name":"著者版フラグ","attribute_value_mlt":[{"subitem_version_resource":"http://purl.org/coar/version/c_ab4af688f83e57aa","subitem_version_type":"AM"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Masada, Tomonari"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Fukagawa, Daiji"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Takasu, Atsuhiro"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Hamada, Tsuyoshi"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Shibata, Yuichiro"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Oguri, Kiyoshi"}],"nameIdentifiers":[{}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2020-12-23"}],"displaytype":"detail","filename":"ICIKMP2009_1831.pdf","filesize":[{"value":"722.8 kB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"ICIKMP2009_1831.pdf","url":"https://nagasaki-u.repo.nii.ac.jp/record/17017/files/ICIKMP2009_1831.pdf"},"version_id":"2d497ad7-7d99-447c-92a0-c8faffd1842d"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"Temporal analysis","subitem_subject_scheme":"Other"},{"subitem_subject":"Topic detection","subitem_subject_scheme":"Other"},{"subitem_subject":"Topic modeling","subitem_subject_scheme":"Other"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourcetype":"conference paper","resourceuri":"http://purl.org/coar/resource_type/c_5794"}]},"item_title":"Dynamic hyperparameter optimization for bayesian topical trend analysis","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Dynamic hyperparameter optimization for bayesian topical trend analysis"}]},"item_type_id":"9","owner":"2","path":["65"],"pubdate":{"attribute_name":"公開日","attribute_value":"2010-02-10"},"publish_date":"2010-02-10","publish_status":"0","recid":"17017","relation_version_is_last":true,"title":["Dynamic hyperparameter optimization for bayesian topical trend analysis"],"weko_creator_id":"2","weko_shared_id":-1},"updated":"2023-05-17T20:28:55.461191+00:00"}