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

研究成果: 書籍/レポートタイプへの寄稿 › 会議への寄与

2 被引用数 (Scopus)

抄録

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).

本文言語	英語
ホスト出版物のタイトル	Proceedings - 2015 IIAI 4th International Congress on Advanced Applied Informatics, IIAI-AAI 2015
出版社	Institute of Electrical and Electronics Engineers Inc.
ページ	207-212
ページ数	6
ISBN（電子版）	9781479999583
DOI	https://doi.org/10.1109/IIAI-AAI.2015.253
出版ステータス	出版済み - 1月 6 2016
イベント	4th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2015 - Okayama, 日本継続期間: 7月 12 2015 → 7月 16 2015

その他

その他	4th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2015
国/地域	日本
City	Okayama
Period	7/12/15 → 7/16/15

!!!All Science Journal Classification (ASJC) codes

情報システム
コンピュータネットワークおよび通信
コンピュータサイエンスの応用
コンピュータビジョンおよびパターン認識

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10.1109/IIAI-AAI.2015.253

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引用スタイル

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, 日本, 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",

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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

PY - 2016/1/6

Y1 - 2016/1/6

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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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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Y2 - 12 July 2015 through 16 July 2015

ER -

Sentiment Analysis of Wine Aroma

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!!!All Science Journal Classification (ASJC) codes

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