Advertisement

Travel Review Analysis System with Big Data (TRAS)

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

Abstract

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.

Keywords

Big data Data analysis MapReduce Decision support system 

References

  1. 1.
    Snae, C., Pawarawat, N.: A study of internet user behaviour using techniques of data mining and temporal ontology. In: The Third Naresuan Research Conference, Phitsanulok, Thailand, 28–29 July 2007 (2007). (in Thailand)Google Scholar
  2. 2.
    Snae, C., Brückner, M.: Data cleaning and clustering of internet log files based on a temporal ontology. In: The Third Mahasarakham International Workshop on AI (MIWAI 2009) (2009)Google Scholar
  3. 3.
    Kitwattanathaworn, P., Angsakul, T., Angsakul, C.: Knowledge extraction system from online hotel review using fuzzy logic. J. KMUTNB 23(2), 363–377 (2013)Google Scholar
  4. 4.
    Chotirat, W., Boonrawd, P., Wichian, S.N.: Developing an ontology knowledge based for automatic online news analysis. Inf. Technol. J. 7(14), 13–18 (2011)Google Scholar
  5. 5.
    Hu, M., Liu, B.: Mining and summarizing customer reviews. In: Proceedings of the 2004 ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 168–177 (2004)Google Scholar
  6. 6.
    Jian, M.S., Fang, Y.C., Wang, Y.K., Cheng, C.: Big data analysis in hotel customer response and evaluation based on cloud. In: 19th International Conference on Advanced Communication Technology (ICACT) (2017). https://ieeexplore.ieee.org/document/7890201/. Accessed 21 Aug 2018
  7. 7.
    Bhosale, H.S., Gadekar, D.P.: A review paper on big data and hadoop. Int. J. Sci. Res. Publ. 4(10), 1–7 (2014)Google Scholar
  8. 8.
    Dhawan, S., Rathee, S.: Big data analytics using hadoop components like pig and hive. Am. Int. J. Res. Sci., Technol., Eng. Math. (AIJRSTEM) 2, 88–93 (2013)Google Scholar
  9. 9.
    Thusoo, A., et al.: Hive - a warehousing solution over a map-reduce framework (2009). https://research.facebook.com/publications/hive-a-warehousing-solution-over-a-map-reduce-framework/. Accessed 18 July 2018
  10. 10.
    Namahoot, C.S., Panawong, N., Brückner, M.: A tourism recommendation system for thailand using semantic web rule language and K-NN algorithm. INFORMATION 19(7), 3017–3024 (2016)Google Scholar
  11. 11.
    Namahoot, C.S., Brückner, M., Panawong, N.: Context-aware tourism recommender system using temporal ontology and Naïve Bayes. In: Unger, H., Meesad, P., Boonkrong, S. (eds.) Recent Advances in Information and Communication Technology 2015. AISC, vol. 361, pp. 183–194. Springer, Cham (2015).  https://doi.org/10.1007/978-3-319-19024-2_19CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  • Chakkrit Snae Namahoot
    • 1
    • 2
  • 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

Personalised recommendations