Memorias de investigación
Communications at congresses:
Characterising Emergent Semantics in Twitter Lists
Year:2012
Research Areas
  • Information technology and adata processing
Information
Abstract
Twitter lists organise Twitter users into multiple, often overlapping, sets. We believe that these lists capture some form of emergent semantics, which may be useful to characterise. In this paper we describe an approach for such characterisation, which consists of deriving semantic relations between lists and users by analyzing the cooccurrence of keywords in list names. We use the vector space model and Latent Dirichlet Allocation to obtain similar keywords according to co-occurrence patterns. These results are then compared to similarity measures relying on WordNet and to existing Linked Data sets. Results show that co-occurrence of keywords based on members of the lists produce more synonyms and more correlated results to that of WordNet similarity measures.
International
Si
Congress
9th Extended Semantic Web Conference (ESWC2012)
960
Place
Hersonissos, Creta (Grecia)
Reviewers
Si
ISBN/ISSN
978-3-642-30283-1
10.1007/978-3-642-30284-8_42
Start Date
27/05/2012
End Date
31/05/2012
From page
530
To page
544
The Semantic Web: Research and Applications
Participants
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Ontology Engineering Group
  • Departamento: Inteligencia Artificial