Matches in ScholarlyData for { <https://w3id.org/scholarlydata/inproceedings/eswc2012/paper/research/154> ?p ?o. }
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- 154 creator andres-garcia-silva.
- 154 creator jeon-hyung-kang.
- 154 creator kristina-lerman.
- 154 creator oscar-corcho.
- 154 type InProceedings.
- 154 label "Characterising Emergent Semantics in Twitter Lists".
- 154 sameAs 154.
- 154 abstract "Twitter lists constitute a form of organising Twitter users into sets, and can be created and maintained by any user in Twitter. In this paper we describe a characterisation approach of the emergent semantics in these lists, which consists in deriving semantic relations between lists and users by analyzing the co-occurrence 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 the WordNet synset hierarchy 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.".
- 154 hasAuthorList authorList.
- 154 isPartOf proceedings.
- 154 keyword "Emergent semantics".
- 154 keyword "Similarity".
- 154 keyword "Twitter lists".
- 154 title "Characterising Emergent Semantics in Twitter Lists".