Assessing the quality of opinion retrieval systems (Contributo in atti di convegno)

Type
Label
  • Assessing the quality of opinion retrieval systems (Contributo in atti di convegno) (literal)
Anno
  • 2010-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1109/WI-IAT.2010.272 (literal)
Alternative label
  • Giambattista Amati; Giuseppe Amodeo; Valerio Capozio; Carlo Gaibisso; Giorgio Gambosi (2010)
    Assessing the quality of opinion retrieval systems
    in Assessing the quality of opinion retrieval systems
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Giambattista Amati; Giuseppe Amodeo; Valerio Capozio; Carlo Gaibisso; Giorgio Gambosi (literal)
Pagina inizio
  • 235 (literal)
Pagina fine
  • 238 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#titoloVolume
  • Proceedings of the 2010 IEEE/WIC/ACM International Conference - Workshops (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#note
  • IEEE Computer Society Press (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali
  • 4 (literal)
Note
  • ISI Web of Science (WOS) (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • Giambattista Amati: Fondazione U. Bordoni - Rome, Italy Giuseppe Amodeo: Dept. of Computer Science, University of L'Aquila - L'Aquila, Italy, IASI CNR - Rome, Italy Valerio Capoziio: Dept. of Mathematics, University of Tor Vergata - Rome, Italy Carlo Gaibisso: IASI CNR - Rome, Italy Giorgio Gambosi: Dept. of Mathematics, University of Tor Vergata - Rome, Italy (literal)
Titolo
  • Assessing the quality of opinion retrieval systems (literal)
Abstract
  • Due to the complexity of topical opinion retrieval systems, standard measures, such as MAP or precision, do not fully succeed in assessing their performances. In this paper we introduce an evaluation framework based on artificially defined opinion classifiers. Using a Monte Carlo sampling, we perturb a relevance ranking by the outcomes of these classifiers and analyse how the opinion retrieval performance changes. In this way it is possible to assess the performance of an approach to opinion mining from that of the overall system and to clarify how relevance and opinion are affected by each other. (literal)
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