Automatic Construction of an Opinion-Term Vocabulary for Ad Hoc Retrieval

  • Giambattista Amati
  • Edgardo Ambrosi
  • Marco Bianchi
  • Carlo Gaibisso
  • Giorgio Gambosi
Conference paper

DOI: 10.1007/978-3-540-78646-7_11

Part of the Lecture Notes in Computer Science book series (LNCS, volume 4956)
Cite this paper as:
Amati G., Ambrosi E., Bianchi M., Gaibisso C., Gambosi G. (2008) Automatic Construction of an Opinion-Term Vocabulary for Ad Hoc Retrieval. In: Macdonald C., Ounis I., Plachouras V., Ruthven I., White R.W. (eds) Advances in Information Retrieval. ECIR 2008. Lecture Notes in Computer Science, vol 4956. Springer, Berlin, Heidelberg

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.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Giambattista Amati
    • 1
  • Edgardo Ambrosi
    • 2
  • Marco Bianchi
    • 2
  • Carlo Gaibisso
    • 2
  • Giorgio Gambosi
    • 3
  1. 1.Fondazione Ugo BordoniRomeItaly
  2. 2.IASI “Antonio Ruberti” - CNRRomeItaly
  3. 3.University of Tor VergataRomeItaly

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