Automatic construction of an opinion-term vocabulary for ad hoc retrieval (Articolo in rivista)

Type
Label
  • Automatic construction of an opinion-term vocabulary for ad hoc retrieval (Articolo in rivista) (literal)
Anno
  • 2008-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1007/978-3-540-78646-7_11 (literal)
Alternative label
  • Giambattista Amati; Edgardo Ambrosi; Marco Bianchi; Carlo Gaibisso; Giorgio Gambosi (2008)
    Automatic construction of an opinion-term vocabulary for ad hoc retrieval
    in Lecture notes in computer science; Springer-Verlag Berlin, Berlin (Germania)
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Giambattista Amati; Edgardo Ambrosi; Marco Bianchi; Carlo Gaibisso; Giorgio Gambosi (literal)
Pagina inizio
  • 89 (literal)
Pagina fine
  • 100 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
  • 4956 (literal)
Rivista
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#note
  • Proceedings of the 30th European Conference on IR Research (ECIR 2008) (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali
  • 12 (literal)
Note
  • ISI Web of Science (WOS) (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • Giambattista Amati: Fondazione Ugo Bordoni, Rome, Italy Edgardo Ambrosi: IASI \"Antonio Ruberti\" - CNR, Rome, Italy Marco Bianchi: IASI \"Antonio Ruberti\" - CNR, Rome, Italy Carlo Gaibisso: IASI \"Antonio Ruberti\" - CNR, Rome, Italy Giorgio Gambosi: University of Tor Vergata, Rome, Italy (literal)
Titolo
  • Automatic construction of an opinion-term vocabulary for ad hoc retrieval (literal)
Abstract
  • We present a method to automatically generate a term-opinion lexicon. We also weight these lexicon terms and use them at real time to boost the ranking with opinionated-content documents. We define very simple models both for opinion-term extraction and document ranking. Both the lexicon model and retrieval model are assessed. To evaluate the quality of the lexicon we compare performance with a well-established manually generated opinion-term dictionary. We evaluate the effectiveness of the term-opinion lexicon using the opinion task evaluation data of the TREC 2007 blog track. (literal)
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