{"created":"2024-12-12T01:12:08.314822+00:00","id":2009056,"links":{},"metadata":{"_buckets":{"deposit":"4e1e1316-2f2f-4362-9df9-96a02a0d8ccc"},"_deposit":{"created_by":7,"id":"2009056","owners":[7],"pid":{"revision_id":0,"type":"depid","value":"2009056"},"status":"published"},"_oai":{"id":"oai:tokushima-u.repo.nii.ac.jp:02009056","sets":["1713853213384:1713853295607"]},"author_link":["311","94","641"],"item_10001_alternative_title_1":{"attribute_name":"タイトル別表記","attribute_value_mlt":[{"subitem_alternative_title":"Relations between Sleep Time and SNS Texts","subitem_alternative_title_language":"en"}]},"item_10001_biblio_info_7":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2021-03","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicPageEnd":"9","bibliographicPageStart":"1","bibliographicVolumeNumber":"12","bibliographic_titles":[{"bibliographic_title":"International Journal of Advanced Intelligence","bibliographic_titleLang":"en"}]}]},"item_10001_description_5":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"Sleeping habits are one of the major issues in today’s healthcare. In this paper, we consider the problem of analyzing sleeping habits of people using social networking service (SNS) texts. As the first step toward predicting user’s sleeping time using SNS texts, we assume that the time span between the user’s last post in one day and the first post the next day can be used as a pseudo-indicator for the user’s sleeping time if the user posts the text sufficiently frequently. We call such tweet time spans “pseudo-sleeping time” if the first tweet of the next day include “Good morning” or similar words. We try to predict such pseudo-sleeping time using the text (tweet) of the preceding tweet (i.e., the last tweet of the day). Preliminary experiments show that the tweet text contains some useful information to predict the user’s pseudo-sleeping time.","subitem_description_language":"en","subitem_description_type":"Abstract"}]},"item_10001_publisher_8":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"AIA International Advanced Information Institute","subitem_publisher_language":"en"}]},"item_10001_source_id_9":{"attribute_name":"収録物ID","attribute_value_mlt":[{"subitem_source_identifier":"18833918","subitem_source_identifier_type":"ISSN"}]},"item_10001_version_type_20":{"attribute_name":"出版タイプ","attribute_value_mlt":[{"subitem_version_resource":"http://purl.org/coar/version/c_970fb48d4fbd8a85","subitem_version_type":"VoR"}]},"item_1715043197608":{"attribute_name":"アクセス権","attribute_value_mlt":[{"subitem_access_right":"open 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the Day","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Toward Analyzing Relations between Sleeping Time and Social Networking Service Texts : Prediction of the Tweet Time Span Using the Last Tweet of the Day","subitem_title_language":"en"}]},"item_type_id":"40001","owner":"7","path":["1713853295607"],"pubdate":{"attribute_name":"PubDate","attribute_value":"2021-07-30"},"publish_date":"2021-07-30","publish_status":"0","recid":"2009056","relation_version_is_last":true,"title":["Toward Analyzing Relations between Sleeping Time and Social Networking Service Texts : Prediction of the Tweet Time Span Using the Last Tweet of the Day"],"weko_creator_id":"7","weko_shared_id":-1},"updated":"2025-01-28T01:41:39.941298+00:00"}