• DocumentCode
    3337843
  • Title

    On exploring airline service features from massive online review

  • Author

    Boyan Yao ; Hua Yuan ; Yu Qian ; Liangqiang Li

  • Author_Institution
    Sch. of Manage. & Econ., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
  • fYear
    2015
  • fDate
    22-24 June 2015
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In this work, we propose a research framework to exploring the useful information about airline service from massive online reviews, especially, the airline service features from the customer perspective. The experimental results indicate that the proposed methods can extract information about customers´ opinion about the airline service features. The common concerns as well as special features for different airline company can also be extracted efficiently from the massive online review data.
  • Keywords
    Internet; customer satisfaction; travel industry; airline service features; customer opinion; customer perspective; information extraction; massive online review; Airports; Atmospheric modeling; Companies; Data mining; Feature extraction; Industries; Web sites; Airline service; feature extraction; online review; service feature;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Service Systems and Service Management (ICSSSM), 2015 12th International Conference on
  • Conference_Location
    Guangzhou
  • Print_ISBN
    978-1-4799-8327-8
  • Type

    conf

  • DOI
    10.1109/ICSSSM.2015.7170270
  • Filename
    7170270