Title :
An Investigation of Effectiveness of "Opinion" and "Fact" Sentences for Sentiment Analysis of Customer Reviews
Author :
Yuya Sawakoshi;Makoto Okada;Kiyota Hashimoto
Author_Institution :
Osaka Prefecture Univ., Sakai, Japan
Abstract :
Recently, a customer review of travel information website has been a big influence on users in accommodations by the spread of the internet. In our research, as preprocessing of picking out information from the reviews, we propose a method to classify sentences into "Opinion sentences" and "Fact sentences" using SVM. And we confirm effectiveness of "opinion sentences" to estimate values by classification reviews into Positive and Negative using SVM.
Keywords :
"Support vector machine classification","Sentiment analysis","Kernel","Cities and towns","Internet"
Conference_Titel :
Computer Application Technologies (CCATS), 2015 International Conference on
DOI :
10.1109/CCATS.2015.33
