Travel Review Analysis System with Big Data (TRAS)

  • Chakkrit Snae NamahootEmail author
  • Sopon Pinijkitcharoenkul
  • Michael Brückner
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11344)


This paper introduces a process for online travel review analysis in Thai language employed in a recommender system supporting travelers (TRAS). The process covers three main categories: attractions, accommodation, and gastronomy. The filtering and queuing results gained with MapReduce build the input for three main steps: (1) the analysis process for element scores, (2) the analysis process for the total scores of the reviews, and (3) the travel guidance system based on users’ selections. The extensive tests revealed that the system operates properly regarding functional and non-functional requirements. We employed 60,000 travel reviews containing all categories to test the analysis process for steps (1) and (2). We found that the number of adjectives and modifiers in each review affects the time used for analysis. In contrast to previous recommender systems, TRAS applies a more diverse and transparent rating and ranking approach. Travelers can select the features they are interested in and get personalized results, so that a given location might achieve different rankings for different travelers.


Big data Data analysis MapReduce Decision support system 


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Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  • Chakkrit Snae Namahoot
    • 1
    • 2
    Email author
  • Sopon Pinijkitcharoenkul
    • 3
  • Michael Brückner
    • 4
  1. 1.Department of Computer Science and Information Technology, Faculty of ScienceNaresuan UniversityPhitsanulokThailand
  2. 2.Center of Excellence in Nonlinear Analysis and Optimization, Faculty of ScienceNaresuan UniversityPhitsanulokThailand
  3. 3.Information Technology CenterPibulsongkram Rajabhat UniversityPhitsanulokThailand
  4. 4.Department of Educational Technology and Communication, Faculty of EducationNaresuan UniversityPhitsanulokThailand

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