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Istituto di scienze e tecnologie della cognizione

Torna all'elenco Contributi in rivista anno 2014

Contributo in rivista

Tipo: Articolo in rivista

Titolo: Sentilo: Frame-Based Sentiment Analysis

Anno di pubblicazione: 2014

Autori: Reforgiato Recupero, Diego; Presutti, Valentina; Consoli, Sergio; Gangemi, Aldo; Nuzzolese, Andrea Giovanni

Affiliazioni autori: Semantic Technology Laboratory, National Research Council (CNR), Institute of Cognitive Sciences and Technologies, Via Gaifami 18, Catania, 95028, Italy; Semantic Technology Laboratory, National Research Council (CNR), Institute of Cognitive Sciences and Technologies, Via Nomentana 56, Rome, 00161, Italy; LIPN, Sorbone Cité, UMR CNRS, University Paris 13, Paris, France; Department of Computer Science and Engineering, University of Bolgona, Mura Anteo Zamboni 7, Bologna, 40126, Italy

Autori CNR:

  • SERGIO CONSOLI
  • ALDO GANGEMI
  • ANDREA GIOVANNI NUZZOLESE
  • VALENTINA PRESUTTI
  • DIEGO ANGELO GAETANO REFORGIATO RECUPERO

Lingua: inglese

Abstract: Sentilo is an unsupervised, domain-independent system that performs sentiment analysis by hybridizing natural language processing techniques and semantic Web technologies. Given a sentence expressing an opinion, Sentilo recognizes its holder, detects the topics and subtopics that it targets, links them to relevant situations and events referred to by it and evaluates the sentiment expressed on each topic/subtopic. Sentilo relies on a novel lexical resource, which enables a proper propagation of sentiment scores from topics to subtopics, and on a formal model expressing the semantics of opinion sentences. Sentilo provides its output as a RDF graph, and whenever possible it resolves holders' and topics' identity on Linked Data. © 2014 Springer Science+Business Media New York.

Lingua abstract: inglese

Rivista:

Cognitive computation Springer
Paese di pubblicazione: Stati Uniti d'America
Lingua: inglese
ISSN: 1866-9964

DOI: 10.1007/s12559-014-9302-z

Referee: Sì: Internazionale

Indicizzato da: Scopus [2-s2.0-84906652116]

Parole chiave:

  • Conceptual frames
  • Opinion mining
  • Sentic computing
  • Sentiment analysis

URL: http://www.scopus.com/inward/record.url?eid=2-s2.0-84906652116&partnerID=q2rCbXpz

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