Sentiment Analysis of Wine Aroma

Nao Wariishi; Brendan Flanagan; Takahiko Suzuki; Sachio Hirokawa

doi:10.1109/IIAI-AAI.2015.253

Sentiment Analysis of Wine Aroma

Nao Wariishi, Brendan Flanagan, Takahiko Suzuki, Sachio Hirokawa

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	Proceedings - 2015 IIAI 4th International Congress on Advanced Applied Informatics, IIAI-AAI 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	207-212
Number of pages	6
ISBN (Electronic)	9781479999583
DOIs	https://doi.org/10.1109/IIAI-AAI.2015.253
Publication status	Published - Jan 6 2016
Event	4th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2015 - Okayama, Japan Duration: Jul 12 2015 → Jul 16 2015

Other

Other	4th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2015
Country/Territory	Japan
City	Okayama
Period	7/12/15 → 7/16/15

All Science Journal Classification (ASJC) codes

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

Access to Document

10.1109/IIAI-AAI.2015.253

Cite this

Wariishi, N, Flanagan, B, Suzuki, T & Hirokawa, S 2016, Sentiment Analysis of Wine Aroma. in Proceedings - 2015 IIAI 4th International Congress on Advanced Applied Informatics, IIAI-AAI 2015., 7373902, Institute of Electrical and Electronics Engineers Inc., pp. 207-212, 4th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2015, Okayama, Japan, 7/12/15. https://doi.org/10.1109/IIAI-AAI.2015.253

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title = "Sentiment Analysis of Wine Aroma",

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).",

author = "Nao Wariishi and Brendan Flanagan and Takahiko Suzuki and Sachio Hirokawa",

year = "2016",

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doi = "10.1109/IIAI-AAI.2015.253",

language = "English",

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booktitle = "Proceedings - 2015 IIAI 4th International Congress on Advanced Applied Informatics, IIAI-AAI 2015",

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note = "4th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2015 ; Conference date: 12-07-2015 Through 16-07-2015",

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AU - Flanagan, Brendan

AU - Suzuki, Takahiko

AU - Hirokawa, Sachio

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N2 - 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).

AB - 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).

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DO - 10.1109/IIAI-AAI.2015.253

M3 - Conference contribution

AN - SCOPUS:84964355511

SP - 207

EP - 212

BT - Proceedings - 2015 IIAI 4th International Congress on Advanced Applied Informatics, IIAI-AAI 2015

PB - Institute of Electrical and Electronics Engineers Inc.

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ER -

Sentiment Analysis of Wine Aroma

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