Identifying Topics in Social Media Posts using DBpedia
| Data(s) |
2011
|
|---|---|
| Resumo |
This paper describes a method for identifying topics in text published in social media, by applying topic recognition techniques that exploit DBpedia. We evaluate such method for social media in Spanish and we provide the results of the evaluation performed. |
| Formato |
application/pdf |
| Identificador | |
| Idioma(s) |
eng |
| Publicador |
Facultad de Informática (UPM) |
| Relação |
http://oa.upm.es/12506/1/INVE_MEM_2011_105395.pdf http://nem-summit.eu/past-events/2011-nem-summit/ |
| Direitos |
http://creativecommons.org/licenses/by-nc-nd/3.0/es/ info:eu-repo/semantics/openAccess |
| Fonte |
Proceedings of the NEM summit 2011 | The NEM summit 2011 | 27/09/2011 - 29/09/2011 | Torino, Italia |
| Palavras-Chave | #Informática |
| Tipo |
info:eu-repo/semantics/conferenceObject Ponencia en Congreso o Jornada PeerReviewed |
