• DocumentCode
    259355
  • 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
  • fYear
    2014
  • fDate
    Aug. 31 2014-Sept. 4 2014
  • Firstpage
    567
  • Lastpage
    572
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Applied Informatics (IIAIAAI), 2014 IIAI 3rd International Conference on
  • Conference_Location
    Kitakyushu
  • Print_ISBN
    978-1-4799-4174-2
  • Type

    conf

  • DOI
    10.1109/IIAI-AAI.2014.123
  • Filename
    6913367