Title :
Sentiment Analysis of Wine Aroma
Author :
Nao Wariishi;Brendan Flanagan;Takahiko Suzuki;Sachio Hirokawa
Author_Institution :
Grad. Sch. of Inf. Sci. &
fDate :
7/1/2015 12:00:00 AM
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"
Conference_Titel :
Advanced Applied Informatics (IIAI-AAI), 2015 IIAI 4th International Congress on
Print_ISBN :
978-1-4799-9957-6
DOI :
10.1109/IIAI-AAI.2015.253