• DocumentCode
    3139796
  • Title

    Challenges for Sentence Level Opinion Detection in Blogs

  • Author

    Missen, Malik Muhammad Saad ; Boughanem, Mohand ; Cabanac, Guillaume

  • Author_Institution
    IRIT, Univ. de Toulouse, Toulouse, France
  • fYear
    2009
  • fDate
    1-3 June 2009
  • Firstpage
    347
  • Lastpage
    351
  • Abstract
    The Opinion Detection from blogs has always been a challenge for researchers. However with the introduction of Blog track in TREC 2006, a considerable improvement has been seen in this field at document level. But now it is the time when researchers are thinking to shift their orientation from opinion finding at document level to opinion finding at sentence or passage level. In this paper, we investigate the challenges the researchers might face with sentence-level opinion detection and have tried to demonstrate them with few examples. Our work also includes annotation of a small set of opinionated sentences by two annotators. These Annotators annotate the sentences by labels Positive or Negative. The results of annotation prove that task of opinion detection on sentence-level is more challenging task than opinion detection on document level. In addition, we also discuss the importance of sentence-level opinion detection. Our work can give a new direction to researchers to think and work on.
  • Keywords
    Web sites; text analysis; blogs; document level; sentence level opinion detection; Blogs; Event detection; Face detection; Graphics; Information filtering; Information filters; Information retrieval; Information science; Text analysis; Text recognition; Blogs; Polarity; information retrieval; opinion; sentiment;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer and Information Science, 2009. ICIS 2009. Eighth IEEE/ACIS International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-0-7695-3641-5
  • Type

    conf

  • DOI
    10.1109/ICIS.2009.190
  • Filename
    5222895