Thematic labeling of Twitter accounts using DBpedia properties

dc.creator	Razis G., Anagnostopoulos I., Saloun P.	en
dc.date.accessioned	2023-01-31T09:51:19Z
dc.date.available	2023-01-31T09:51:19Z
dc.date.issued	2016
dc.identifier	10.1109/SMAP.2016.7753393
dc.identifier.isbn	9781509052455
dc.identifier.uri	http://hdl.handle.net/11615/78478
dc.description.abstract	In this paper, we propose an iterative algorithm towards the automatic labeling of Twitter accounts in respect to thematic categories derived from DBpedia properties. We describe the rationale behind the selection of these thematic categories, and discuss their evaluation assessment. Finally, we propose and analyze two generic and adaptable methodologies for discovering the necessary linked data resources for further enhancing the thematic description of Twitter accounts. © 2016 IEEE.	en
dc.language.iso	en	en
dc.source	Proceedings - 11th International Workshop on Semantic and Social Media Adaptation and Personalization, SMAP 2016	en
dc.source.uri	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85006791380&doi=10.1109%2fSMAP.2016.7753393&partnerID=40&md5=bef3436b4df3d6b335eb8cda7a9327a8
dc.subject	Iterative methods	en
dc.subject	Semantics	en
dc.subject	Automatic labeling	en
dc.subject	Dbpedia	en
dc.subject	Iterative algorithm	en
dc.subject	Linked datum	en
dc.subject	Twitter	en
dc.subject	Social networking (online)	en
dc.subject	Institute of Electrical and Electronics Engineers Inc.	en
dc.title	Thematic labeling of Twitter accounts using DBpedia properties	en
dc.type	conferenceItem	en

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