• DocumentCode
    1494019
  • Title

    Product Feature Grouping for Opinion Mining

  • Author

    Zhai, Zhongwu ; Liu, Bing ; Wang, Jingyuan ; Xu, Hua ; Jia, Peifa

  • Volume
    27
  • Issue
    4
  • fYear
    2012
  • Firstpage
    37
  • Lastpage
    44
  • Abstract
    Review aggregators and e-commerce sites are just two examples of businesses that rely on opinion mining to produce feature-based summaries of products´ qualities. This model first identifies product features and then collects positive and negative opinions on them to produce a summary of good and bad points.
  • Keywords
    Web sites; data mining; electronic commerce; businesses; e-commerce sites; feature-based summaries; opinion mining; product feature grouping; product qualities; review aggregators; Bayesian methods; Context awareness; Data mining; Feature extraction; Information analysis; Semisupervised learning; opinion mining; product feature grouping; semi-supervised learning;
  • fLanguage
    English
  • Journal_Title
    Intelligent Systems, IEEE
  • Publisher
    ieee
  • ISSN
    1541-1672
  • Type

    jour

  • DOI
    10.1109/MIS.2011.38
  • Filename
    5749994
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1494019