Cognitive Computation

, Volume 7, Issue 2, pp 211–225

Sentilo: Frame-Based Sentiment Analysis

  • Diego Reforgiato Recupero
  • Valentina Presutti
  • Sergio Consoli
  • Aldo Gangemi
  • Andrea Giovanni Nuzzolese
Article

DOI: 10.1007/s12559-014-9302-z

Cite this article as:
Reforgiato Recupero, D., Presutti, V., Consoli, S. et al. Cogn Comput (2015) 7: 211. doi:10.1007/s12559-014-9302-z

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.

Keywords

Opinion mining Sentic computing Sentiment analysis Conceptual frames 

Copyright information

© Springer Science+Business Media New York 2014

Authors and Affiliations

  • Diego Reforgiato Recupero
    • 1
  • Valentina Presutti
    • 2
  • Sergio Consoli
    • 1
  • Aldo Gangemi
    • 2
    • 3
  • Andrea Giovanni Nuzzolese
    • 2
    • 4
  1. 1.Semantic Technology Laboratory, National Research Council (CNR)Institute of Cognitive Sciences and TechnologiesCataniaItaly
  2. 2.Semantic Technology Laboratory, National Research Council (CNR)Institute of Cognitive Sciences and TechnologiesRomeItaly
  3. 3.LIPN, Sorbone Cité, UMR CNRSUniversity Paris 13ParisFrance
  4. 4.Department of Computer Science and EngineeringUniversity of BolgonaBolognaItaly

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