Characterising emergent semantics in Twitter lists

García-Silva, A. and Corcho, Oscar and Kang, Jeon-Hyung and Lerman, Kristina (2012). Characterising emergent semantics in Twitter lists. In: "9th Extended Semantic Web Conference (ESWC2012)", 27/05/2012 - 31/05/2012, Hersonissos, Creta (Grecia). ISBN 978-3-642-30283-1. pp. 530-544.

Description

Title: Characterising emergent semantics in Twitter lists
Author/s:
  • García-Silva, A.
  • Corcho, Oscar
  • Kang, Jeon-Hyung
  • Lerman, Kristina
Item Type: Presentation at Congress or Conference (Article)
Event Title: 9th Extended Semantic Web Conference (ESWC2012)
Event Dates: 27/05/2012 - 31/05/2012
Event Location: Hersonissos, Creta (Grecia)
Title of Book: The Semantic Web: Research and Applications
Date: 2012
ISBN: 978-3-642-30283-1
Volume: 7295
Subjects:
Faculty: Facultad de Informática (UPM)
Department: Inteligencia Artificial
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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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.

More information

Item ID: 20402
DC Identifier: http://oa.upm.es/20402/
OAI Identifier: oai:oa.upm.es:20402
Official URL: http://link.springer.com/chapter/10.1007%2F978-3-642-30284-8_42
Deposited by: Memoria Investigacion
Deposited on: 04 Nov 2013 15:15
Last Modified: 21 Apr 2016 23:11
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