A semantic web based core engine to efficiently perform sentiment analysis (Abstract/Poster in atti di convegno)

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Label
  • A semantic web based core engine to efficiently perform sentiment analysis (Abstract/Poster in atti di convegno) (literal)
Anno
  • 2014-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1007/978-3-319-11955-7_28 (literal)
Alternative label
  • Reforgiato Recupero, Diego; Consoli, Sergio; Gangemi, Aldo; Nuzzolese, Andrea Giovanni; Spampinato, Daria (2014)
    A semantic web based core engine to efficiently perform sentiment analysis
    in ESWC 2014 Satellite Events: The Semantic Web
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Reforgiato Recupero, Diego; Consoli, Sergio; Gangemi, Aldo; Nuzzolese, Andrea Giovanni; Spampinato, Daria (literal)
Pagina inizio
  • 245 (literal)
Pagina fine
  • 248 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url
  • http://www.scopus.com/inward/record.url?eid=2-s2.0-84908681970&partnerID=q2rCbXpz (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
  • 8798 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#volumeInCollana
  • 8798 (literal)
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  • Scopu (literal)
  • Poster (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • STLab-ISTC Consiglio Nazionale delle Ricerche, Rome, Italy; LIPN, University Paris 13, Sorbone Cit'e, UMR CNRS, Paris, France; Department of Computer Science and Engineering, University of Bologna, Bologna, Italy (literal)
Titolo
  • A semantic web based core engine to efficiently perform sentiment analysis (literal)
Abstract
  • In this paper we present a domain-independent framework that creates a sentiment analysis model by mixing Semantic Web technologies with natural language processing approaches (This work is supported by the project PRISMA SMART CITIES, funded by the Italian Ministry of Research and Education under the program PON.). Our system, called Sentilo, provides a core sentiment analysis engine which fully exploits semantics. It identifies the holder of an opinion, topics and sub-topics the opinion is referred to, and assesses the opinion trigger. Sentilo uses an OWL opinion ontology to represent all this information with an RDF graph where holders and topics are resolved on Linked Data. Anyone can plug its own opinion scoring algorithm to compute scores of opinion expressing words and come up with a combined scoring algorithm for each identified entities and the overall sentence. (literal)
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