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 |