{"created":"2023-07-21T05:15:13.142508+00:00","id":2000441,"links":{},"metadata":{"_buckets":{"deposit":"5e5d4ec9-656e-40e5-bf61-c1b41df3449d"},"_deposit":{"created_by":15,"id":"2000441","owner":"15","owners":[15],"pid":{"revision_id":0,"type":"depid","value":"2000441"},"status":"published"},"_oai":{"id":"oai:kitami-it.repo.nii.ac.jp:02000441","sets":["1","1:87"]},"author_link":[],"control_number":"2000441","item_1646810750418":{"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_3_biblio_info_186":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"5","bibliographicPageEnd":"2321","bibliographicPageStart":"2321","bibliographicVolumeNumber":"12","bibliographic_titles":[{"bibliographic_title":"Applied Sciences","bibliographic_titleLang":"en"}]}]},"item_3_description_184":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"When planning a travel or an adventure, sightseers increasingly rely on opinions posted on\nthe Internet tourism related websites, such as TripAdvisor, Booking.com or Expedia. Unfortunately,\nbeautiful, yet less-known places and rarely visited sightspots often do not accumulate sufficient\nnumber of valuable opinions on such websites. On the other hand, users often post their opinions\non casual social media services, such as Facebook, Instagram or Twitter. Therefore, in this study, we\ndevelop a system for supplementing insufficient number of Internet opinions available for sightspots\nwith tweets containing opinions of such sightspots, with a specific focus on wildlife sightspots. To\ndo that, we develop an approach consisting of a system (PSRS) for wildlife sightspots and propose\na method for verifying collected geotagged tweets and using them as on-spot reviews. Tweets\nthat contain geolocation information are considered geotagged and therefore treated as possible\ntourist on-spot reviews. The main challenge, however, is to confirm the authenticity of the extracted\ntweets. Our method includes the use of location clustering and classification techniques. Specifically,\nextracted geotagged tweets are clustered by using location information and then annotated taking\ninto consideration specific features applied to machine learning-based classification techniques. As\nfor the machine learning (ML) algorithms, we adopt a fine-tuned transformer neural network-based\nBERT model which implements the information of token context orientation. The BERT model\nachieved a higher F-score of 0.936, suggesting that applying a state-of-the-art deep learning-based\napproach had a significant impact on solving this task. The extracted tweets and annotated scores are\nthen mapped on the designed Park Supplementary Review System (PSRS) as supplementary reviews\nfor travelers seeking additional information about the related sightseeing spots.","subitem_description_language":"en","subitem_description_type":"Abstract"}]},"item_3_publisher_212":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"MDPI","subitem_publisher_language":"en"}]},"item_3_relation_191":{"attribute_name":"DOI","attribute_value_mlt":[{"subitem_relation_type_id":{"subitem_relation_type_id_text":"https://doi.org/10.3390/app12052321","subitem_relation_type_select":"DOI"}}]},"item_3_rights_192":{"attribute_name":"権利","attribute_value_mlt":[{"subitem_rights":"c 2022 by the authors. Licensee MDPI","subitem_rights_language":"en"}]},"item_3_select_195":{"attribute_name":"著者版フラグ","attribute_value_mlt":[{"subitem_select_item":"publisher","subitem_select_language":"en"}]},"item_3_source_id_187":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"2076-3417","subitem_source_identifier_type":"EISSN"}]},"item_access_right":{"attribute_name":"アクセス権","attribute_value_mlt":[{"subitem_access_right":"open access","subitem_access_right_uri":"http://purl.org/coar/access_right/c_abf2"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Victor Silaa","creatorNameLang":"en"}]},{"creatorNames":[{"creatorName":"Fumito Masui","creatorNameLang":"en"}]},{"creatorNames":[{"creatorName":"Michal Ptaszynski","creatorNameLang":"en"}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_access","date":[{"dateType":"Available","dateValue":"2023-07-21"}],"filename":"applsci-12-02321-v2.pdf","filesize":[{"value":"4.9 MB"}],"format":"application/pdf","licensetype":"license_0","mimetype":"application/pdf","url":{"url":"https://kitami-it.repo.nii.ac.jp/record/2000441/files/applsci-12-02321-v2.pdf"},"version_id":"65f6c949-0d99-43ce-8a6d-4128e65c710a"}]},"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":"journal article","resourceuri":"http://purl.org/coar/resource_type/c_6501"}]},"item_title":"A Method of Supplementing Reviews to Less-Known Tourist Spots Using Geotagged Tweets","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"A Method of Supplementing Reviews to Less-Known Tourist Spots Using Geotagged Tweets","subitem_title_language":"en"}]},"item_type_id":"3","owner":"15","path":["1","87"],"pubdate":{"attribute_name":"PubDate","attribute_value":"2023-07-21"},"publish_date":"2023-07-21","publish_status":"0","recid":"2000441","relation_version_is_last":true,"title":["A Method of Supplementing Reviews to Less-Known Tourist Spots Using Geotagged Tweets"],"weko_creator_id":"15","weko_shared_id":3},"updated":"2024-06-03T02:16:41.079576+00:00"}