{"id":185063,"updated":"2025-01-20T03:05:57.076005+00:00","links":{},"created":"2025-01-19T00:52:16.276417+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00185063","sets":["1164:1165:9020:9321"]},"path":["9321"],"owner":"11","recid":"185063","title":["Relationship between SNS users' posting activities and their interests"],"pubdate":{"attribute_name":"公開日","attribute_value":"2017-12-15"},"_buckets":{"deposit":"a2c146ee-b8e8-4a00-ab06-4784843dba8a"},"_deposit":{"id":"185063","pid":{"type":"depid","value":"185063","revision_id":0},"owners":[11],"status":"published","created_by":11},"item_title":"Relationship between SNS users' posting activities and their interests","author_link":["410403","410404","410402","410405","410401","410406"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Relationship between SNS users' posting activities and their interests"},{"subitem_title":"Relationship between SNS users' posting activities and their interests","subitem_title_language":"en"}]},"item_type_id":"4","publish_date":"2017-12-15","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"Graduate School of Information, Production and Systems, Waseda University"},{"subitem_text_value":"Graduate School of Information, Production and Systems, Waseda University"},{"subitem_text_value":"Graduate School of Information, Production and Systems, Waseda University"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Graduate School of Information, Production and Systems, Waseda University","subitem_text_language":"en"},{"subitem_text_value":"Graduate School of Information, Production and Systems, Waseda University","subitem_text_language":"en"},{"subitem_text_value":"Graduate School of Information, Production and Systems, Waseda University","subitem_text_language":"en"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"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/185063/files/IPSJ-DBS17166014.pdf","label":"IPSJ-DBS17166014.pdf"},"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-DBS17166014.pdf","filesize":[{"value":"765.7 kB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"0","billingrole":"13"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_login","version_id":"d2c611c5-4dba-44d3-8ce3-397843e1fbc8","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2017 by the Institute of Electronics, Information and Communication Engineers This SIG report is only available to those in membership of the SIG."}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Bin, Du"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Wenbo, Su"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Mizuho, Iwaihara"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Bin, Du","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Wenbo, Su","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Mizuho, Iwaihara","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN10112482","subitem_source_identifier_type":"NCID"}]},"item_4_textarea_12":{"attribute_name":"Notice","attribute_value_mlt":[{"subitem_textarea_value":"SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc."}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_18gh","resourcetype":"technical report"}]},"item_4_source_id_11":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"2188-871X","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"Users from the entire world interact with others, share feelings and do various activities on SNSs. Such activities of users potentially have strong relationships with their interests and preferences. In this paper, we investigate relationship between public posting activities, online behaviors of users and their belonging interest groups, to identify representative user types, and compare distribution of these user types in each interest group. Public posts of users in several Facebook interest groups have been collected, and linguistic features such as the length of each post have been extracted. The polarity and the subjectivity of posts have been obtained through sentiment analysis. Combined with activity features of these users, post-level clustering and user-level clustering are carried out by several clustering algorithms, and six user types representing these clusters are identified. We observe that distribution of these user types is distinctively different between interest groups, and this fact is useful for predicting users' interests.","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"Users from the entire world interact with others, share feelings and do various activities on SNSs. Such activities of users potentially have strong relationships with their interests and preferences. In this paper, we investigate relationship between public posting activities, online behaviors of users and their belonging interest groups, to identify representative user types, and compare distribution of these user types in each interest group. Public posts of users in several Facebook interest groups have been collected, and linguistic features such as the length of each post have been extracted. The polarity and the subjectivity of posts have been obtained through sentiment analysis. Combined with activity features of these users, post-level clustering and user-level clustering are carried out by several clustering algorithms, and six user types representing these clusters are identified. We observe that distribution of these user types is distinctively different between interest groups, and this fact is useful for predicting users' interests.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"6","bibliographic_titles":[{"bibliographic_title":"研究報告データベースシステム（DBS）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2017-12-15","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"14","bibliographicVolumeNumber":"2017-DBS-166"}]},"relation_version_is_last":true,"weko_creator_id":"11"}}