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
Link To Document