• DocumentCode
    2348413
  • Title

    Tagging online service reviews

  • Author

    Li, Suke ; Hao, Jinmei ; Chen, Zhong

  • Author_Institution
    Sch. of EECS, Peking Univ., Beijing, China
  • fYear
    2010
  • fDate
    21-23 Aug. 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This paper proposes a tagging method that can highlight important service aspects for users who browse online service reviews. Experiments on service aspect ranking and review tagging show that the proposed method is effective for finding important aspects and can generate useful and interesting tags for reviews.
  • Keywords
    data mining; information services; online service reviews; review tagging method; service aspect ranking; Artificial neural networks; Tagging; World Wide Web; Service aspect tagging; opinion mining; service aspect ranking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Language Processing and Knowledge Engineering (NLP-KE), 2010 International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-6896-6
  • Type

    conf

  • DOI
    10.1109/NLPKE.2010.5587816
  • Filename
    5587816
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2348413