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A new method for evaluating tour online review based on grey 2-tuple linguistic

Chuanmin Mi (College of Economics and Management and Institute for Information Management and Electronic Commerce, Nanjing University of Aeronautics and Astronautics, Nanjing, China)
Xiaofei Shan (College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing, China)
Yuan Qiang (College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing, China)
Yosa Stephanie (College of International Education, Nanjing University of Aeronautics and Astronautics, Nanjing, China)
Ye Chen (College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing, China)

Kybernetes

ISSN: 0368-492X

Article publication date: 1 April 2014

1132

Abstract

Purpose

Tour social network data that are heterogeneous contain not only the quantitative structured evaluation data, but also the qualitative non-structured data. This is a big data scenario. How to evaluate tour online review and then recommend to potential tourists quickly and accurately are important parts of social responsibility of tour companies. The purpose of this paper is to propose a new method for evaluating tour online review based on grey 2-tuple linguistic.

Design/methodology/approach

The phenomenon of “poor information” exists in some big data scenario. According to social responsibility, grey 2-tuple linguistic evaluation model for tour online review is proposed.

Findings

Tour social networks contain data that are valuable to each individual on tourism industry's value chain. Grey 2-tuple linguistic evaluation model can be used for evaluating tour online reviews. This is a systems thinking method that takes social responsibility into account.

Research limitations/implications

Due to the complex links among reviewers in social network, network mining approaches and models are expected to be added to this research in the near future.

Practical implications

Grey 2-tuple linguistic evaluation method can contribute to the future research on evaluating a variety of tour social network comment data in the real world.

Originality/value

A new evaluation method for making evaluation and recommendations based on tour social network comment information is proposed.

Keywords

Acknowledgements

The relevant researches done in this paper are supported by the NUAA Fundamental Research Funds (No. NS2013080).

Citation

Mi, C., Shan, X., Qiang, Y., Stephanie, Y. and Chen, Y. (2014), "A new method for evaluating tour online review based on grey 2-tuple linguistic", Kybernetes, Vol. 43 No. 3/4, pp. 601-613. https://doi.org/10.1108/K-06-2013-0123

Publisher

:

Emerald Group Publishing Limited

Copyright © 2014, Emerald Group Publishing Limited

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