• DocumentCode
    3391085
  • Title

    A query-specific opinion summarization system

  • Author

    Jin, Feng ; Huang, Minlie ; Zhu, Xiaoyan

  • Author_Institution
    Dept. Comput. Sci. & Technol., Tsinghua Univ., Beijing, China
  • fYear
    2009
  • fDate
    15-17 June 2009
  • Firstpage
    428
  • Lastpage
    433
  • Abstract
    This paper introduces a query-specific opinion summarization system: QOS. When input an opinion question, the system returns a summary with relevance to the opinions and target described by the question. The system has several modules to be able to do this: a question analysis and query reformulation module, a latent semantic indexing based sentence scoring module, a sentence polarity detection module, and a redundancy removal module. When tested on the standard dataset provided by NIST, the results ranked in the median and our system show some competence in this new field.
  • Keywords
    indexing; query formulation; word processing; latent semantic indexing; opinion summarization system; query reformulation module; question analysis; redundancy removal module; sentence scoring module; Computer science; Data mining; Frequency; Indexing; Information services; Large scale integration; Motion pictures; NIST; System testing; Voting; LSI; Opinion Summarization; Sentiment Polarity Detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cognitive Informatics, 2009. ICCI '09. 8th IEEE International Conference on
  • Conference_Location
    Kowloon, Hong Kong
  • Print_ISBN
    978-1-4244-4642-1
  • Type

    conf

  • DOI
    10.1109/COGINF.2009.5250700
  • Filename
    5250700