• DocumentCode
    3673852
  • Title

    Sentiment analysis from product reviews using SentiWordNet as lexical resource

  • Author

    Alexandra Cernian;Valentin Sgarciu;Bogdan Martin

  • Author_Institution
    University Politehnica of Bucharest, Faculty of Automatic Control and Computers, Romania
  • fYear
    2015
  • fDate
    6/1/2015 12:00:00 AM
  • Abstract
    In the current social, technological and economic context, customers make their decisions based mostly on the opinion of other consumers. On the other side, companies need quick feedback from their customers in order to adapt to their needs in real time. The effective connection between these two aspects relies on opinion mining tools, which automatically process consumers´ reviews and opinions about products or services. This paper presents a semantic approach for a sentiment analysis application, which is based on using the SentiWordNet lexical resource. The experimental validation proved a 61% average rate of success of the application.
  • Keywords
    "Accuracy","Sentiment analysis","Context","Speech","Semantics","Companies","Decision making"
  • Publisher
    ieee
  • Conference_Titel
    Electronics, Computers and Artificial Intelligence (ECAI), 2015 7th International Conference on
  • Print_ISBN
    978-1-4673-6646-5
  • Type

    conf

  • DOI
    10.1109/ECAI.2015.7301224
  • Filename
    7301224