Title :
A Method to Classify Customer Reviews of Japanese Hotels by Support Vector Machine Using Estimation Sentence Patterns Information
Author :
Okada, Masayuki ; Takeuchi, Ken ; Hashimoto, Koji
Author_Institution :
Osaka Prefecture Univ., Sakai, Japan
fDate :
Aug. 31 2014-Sept. 4 2014
Abstract :
Customer reviews are important sources of opinions of customers. The reviews contain some sentence pattern and some sort of patterns will be useful to extract the opinions of the customers easily. We propose a method to classify customer reviews using estimation expression patterns by support vector machine. We confirm an effectiveness of the proposed method by experimental results.
Keywords :
estimation theory; hotel industry; natural language processing; pattern classification; support vector machines; Japanese hotels; customer review classification; estimation expression patterns; estimation sentence pattern information; opinion extraction; support vector machine; Accuracy; Compounds; Context; Dictionaries; Estimation; Kernel; Support vector machines; customer review; estimation pattern; sentence pattern; sentiment analysis; support vector machine;
Conference_Titel :
Advanced Applied Informatics (IIAIAAI), 2014 IIAI 3rd International Conference on
Conference_Location :
Kitakyushu
Print_ISBN :
978-1-4799-4174-2
DOI :
10.1109/IIAI-AAI.2014.123
