• DocumentCode
    3027124
  • Title

    Emotional classification model for tourism base on the point of view of life-record

  • Author

    Hung, Jason C. ; Chang, L. ; Yu-Bing Wang ; Min-Feng Lee ; Yueh-Hsuan Lee

  • Author_Institution
    Dept. of Inf. Manage., Overseas Chinese Univ., Taichung, Taiwan
  • fYear
    2010
  • fDate
    4-6 Aug. 2010
  • Firstpage
    293
  • Lastpage
    299
  • Abstract
    In any activity in which people have an emotional reaction, memory and emotion in travel are often not separated. Travel will always be full of memories and emotions with the return of these memories will be the proof of the existence of life. Everyone wants to reserve forever in their minds. With the technological advancements, there are a lot of tools that could preserve the moment. Through the different platforms of the ways to connect, the moment it could be stored by digital image, video, text or others. Combination of GPS positioning system tracks out at any time while you want to remain the moment. The research brings up an effective method to store the valuable moment with emotion. The method uses expression ways, such as Blog and Google Earth to show the time, locations and event during the trip. It is a real-time recording system that you can share diary, videos, emotions and pictures with your friends. In the system, we design a path algorithm which uses the weighted of emotional classification method to calculating the travel planning. In addition to the travel path searching, we use the sentiment classification to help people find the theme-based travel with emotional judgment. It can be a reference basis for travel planning.
  • Keywords
    Web sites; planning (artificial intelligence); storage management; travel industry; GPS positioning system; emotional classification model; path algorithm; tourism base; travel planning;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Frontier Computing. Theory, Technologies and Applications, 2010 IET International Conference on
  • Conference_Location
    Taichung
  • Type

    conf

  • DOI
    10.1049/cp.2010.0577
  • Filename
    5632266