• DocumentCode
    3724358
  • Title

    Sentiment Analysis of Wine Aroma

  • Author

    Nao Wariishi;Brendan Flanagan;Takahiko Suzuki;Sachio Hirokawa

  • Author_Institution
    Grad. Sch. of Inf. Sci. &
  • fYear
    2015
  • fDate
    7/1/2015 12:00:00 AM
  • Firstpage
    207
  • Lastpage
    212
  • Abstract
    It has been easy for us to send information thanks to the growth of the Internet. Information includes reputation. Analysis of the large amount of reputation and making summary of the analysis is very helpful for consumers to decide which goods they should buy. They are also helpful for companies in order to make marketing decisions. Many researches try to classify documents on whether they have positive or negative sentiment. In this paper, we focus on more complex sentiment. We will show a result of machine classification of wine reviews from the point of view of "aroma" using Support Vector Machine (SVM).
  • Keywords
    "Support vector machines","Wheels","Manuals","Sentiment analysis","Feature extraction","Information science","Electrical engineering"
  • Publisher
    ieee
  • Conference_Titel
    Advanced Applied Informatics (IIAI-AAI), 2015 IIAI 4th International Congress on
  • Print_ISBN
    978-1-4799-9957-6
  • Type

    conf

  • DOI
    10.1109/IIAI-AAI.2015.253
  • Filename
    7373902