• DocumentCode
    2348432
  • Title

    Graph-based service quality evaluation through mining Web reviews

  • Author

    Suke Li ; Hao, Jinmei ; Chen, Zhong

  • Author_Institution
    Sch. of EECS, Peking Univ., Beijing, China
  • fYear
    2010
  • fDate
    21-23 Aug. 2010
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    This work tries to find a possible solution to the basic research problem: how to conduct service quality evaluation through mining Web reviews? To address this problem, this work proposes a novel approach to service quality evaluation which has two essential subtasks: 1) finding the most important service aspects, and 2) measuring service quality using ranked service aspects. We propose three graph-based ranking models to rank service aspects and a simple linear method of measuring service quality. Empirical experimental results show all our three methods outperform the approach of Noun Frequency. We also show the effectiveness of our service quality evaluation method by conducting intensive regression experiments.
  • Keywords
    Internet; data mining; graph theory; regression analysis; service industries; Web reviews mining; graph based service quality evaluation; linear method; noun frequency; ranked service aspects; regression experiments; Book reviews; Educational institutions; Service quality evaluation; 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.2010.5587817
  • Filename
    5587817