{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00214998","sets":["6504:10735:10808"]},"path":["10808"],"owner":"44499","recid":"214998","title":["Facts analysis of food tweets"],"pubdate":{"attribute_name":"公開日","attribute_value":"2021-03-04"},"_buckets":{"deposit":"78bbbd0c-21f6-4756-a3cc-f7f015686e72"},"_deposit":{"id":"214998","pid":{"type":"depid","value":"214998","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"Facts analysis of food tweets","author_link":["553324"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Facts analysis of food tweets"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"人工知能と認知科学","subitem_subject_scheme":"Other"}]},"item_type_id":"22","publish_date":"2021-03-04","item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"item_22_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"徳島大"}]},"item_publisher":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"情報処理学会","subitem_publisher_language":"ja"}]},"publish_status":"0","weko_shared_id":-1,"item_file_price":{"attribute_name":"Billing file","attribute_type":"file","attribute_value_mlt":[{"url":{"url":"https://ipsj.ixsq.nii.ac.jp/record/214998/files/IPSJ-Z83-5Q-04.pdf","label":"IPSJ-Z83-5Q-04.pdf"},"date":[{"dateType":"Available","dateValue":"2021-12-28"}],"format":"application/pdf","filename":"IPSJ-Z83-5Q-04.pdf","filesize":[{"value":"352.3 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"41ae3317-62f5-4f26-9b30-12c871f9a31e","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2021 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"蔡, 暁涵"}],"nameIdentifiers":[{}]}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_5794","resourcetype":"conference paper"}]},"item_22_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN00349328","subitem_source_identifier_type":"NCID"}]},"item_22_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"In this study, images and text data about food were collected through keyword search. The goal is to make text consistent with images, exclude images that do not match the text description, and group images of the same type into a food category.Then, VGG-16 is used to analyze the image feature vectors, and according to the image feature vectors, the collected images with the same features will be classified.This method can search related images more accurately.","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"396","bibliographic_titles":[{"bibliographic_title":"第83回全国大会講演論文集"}],"bibliographicPageStart":"395","bibliographicIssueDates":{"bibliographicIssueDate":"2021-03-04","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2021"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":214998,"updated":"2025-01-19T16:22:08.614922+00:00","links":{},"created":"2025-01-19T01:15:47.151152+00:00"}