Sentiment Analysis of Wine Aroma

Nao Wariishi, Brendan Flanagan, Takahiko Suzuki, Sachio Hirokawa

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    2 Citations (Scopus)

    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).

    Original languageEnglish
    Title of host publicationProceedings - 2015 IIAI 4th International Congress on Advanced Applied Informatics, IIAI-AAI 2015
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages207-212
    Number of pages6
    ISBN (Electronic)9781479999583
    DOIs
    Publication statusPublished - Jan 6 2016
    Event4th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2015 - Okayama, Japan
    Duration: Jul 12 2015Jul 16 2015

    Other

    Other4th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2015
    CountryJapan
    CityOkayama
    Period7/12/157/16/15

    All Science Journal Classification (ASJC) codes

    • Information Systems
    • Computer Networks and Communications
    • Computer Science Applications
    • Computer Vision and Pattern Recognition

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