• DocumentCode
    870000
  • Title

    Weighing Stars: Aggregating Online Product Reviews for Intelligent E-commerce Applications

  • Author

    Zhang, Zhu

  • Author_Institution
    Arizona Univ., Tuczon, AZ
  • Volume
    23
  • Issue
    5
  • fYear
    2008
  • Firstpage
    42
  • Lastpage
    49
  • Abstract
    A new task in text-sentiment analysis adds usefulness scoring to polarity/ opinion extraction to improve product- review ranking services, helping shoppers and vendors leverage information from multiple sources. Human language is a medium not only for exchanging information but also for conveying subjective opinions and emotion. Recently, interest in text-subjectivity and sentiment analysis has increased as part of the larger research effort in affective computing, which aims to make computers understand and generate human-like emotions through language and other expressive activities such as gesture.
  • Keywords
    computational linguistics; electronic commerce; emotion recognition; text analysis; gesture recognition; human language; human-like emotion; intelligent e-commerce application; online product review; text-sentiment analysis; Information Search and Retrieval; Machine learning; Text mining; Web mining; Web text analysis;
  • fLanguage
    English
  • Journal_Title
    Intelligent Systems, IEEE
  • Publisher
    ieee
  • ISSN
    1541-1672
  • Type

    jour

  • DOI
    10.1109/MIS.2008.95
  • Filename
    4629725