Research Commons
      • Browse 
        • Communities & Collections
        • Titles
        • Authors
        • By Issue Date
        • Subjects
        • Types
        • Series
      • Help 
        • About
        • Collection Policy
        • OA Mandate Guidelines
        • Guidelines FAQ
        • Contact Us
      • My Account 
        • Sign In
        • Register
      View Item 
      •   Research Commons
      • University of Waikato Research
      • Computing and Mathematical Sciences
      • Computing and Mathematical Sciences Papers
      • View Item
      •   Research Commons
      • University of Waikato Research
      • Computing and Mathematical Sciences
      • Computing and Mathematical Sciences Papers
      • View Item
      JavaScript is disabled for your browser. Some features of this site may not work without it.

      OpinionZoom, a modular tool to explore tourism opinions on the Web

      Marrese-Taylor, Edison; Velasquez, JD; Bravo-Marquez, Felipe
      Thumbnail
      Files
      wi2013.pdf
      404.2Kb
      DOI
       10.1109/WI-IAT.2013.193
      Link
       www.cs.waikato.ac.nz
      Find in your library  
      Citation
      Export citation
      Marrese-Taylor, E., Velasquez, J., & Bravo-Marquez, F. (2013). OpinionZoom, a modular tool to explore tourism opinions on the Web. In Proceedings - 2013 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IATW 2013 (Vol. 3, pp. 261–264). http://doi.org/10.1109/WI-IAT.2013.193
      Permanent Research Commons link: https://hdl.handle.net/10289/10764
      Abstract
      In this paper, we propose OpinionZoom, a modular software that helps users in an easy manner to understand the vast amount of tourism opinions disposed all over the Web. We also successfully implemented and tested OpinionZoom, encompassing the situation of the tourism industry in Los Lagos, also known as the Lake District, in Chile. Results showed the effectiveness of the designed proposal when applied to solving this specific industry's issues.
      Date
      2013-12-01
      Type
      Conference Contribution
      Rights
      This is an author’s accepted version of an article published in the Proceedings of the 2013 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IATW 2013. © 2013 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
      Collections
      • Computing and Mathematical Sciences Papers [1455]
      Show full item record  

      Usage

      Downloads, last 12 months
      103
       
       
       

      Usage Statistics

      For this itemFor all of Research Commons

      The University of Waikato - Te Whare Wānanga o WaikatoFeedback and RequestsCopyright and Legal Statement