TY  - JOUR
AB  - 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.
VL  - 43
IS  - 3/4
SN  - 0368-492X
DO  - 10.1108/K-06-2013-0123
UR  - https://doi.org/10.1108/K-06-2013-0123
AU  - Mi Chuanmin
AU  - Shan Xiaofei
AU  - Qiang Yuan
AU  - Stephanie Yosa
AU  - Chen Ye
ED  - Dr Sonja Sibila Lebe, Prof Matjaž Mulej
PY  - 2014
Y1  - 2014/01/01
TI  - A new method for evaluating tour online review based on grey 2-tuple linguistic
T2  - Kybernetes
PB  - Emerald Group Publishing Limited
SP  - 601
EP  - 613
Y2  - 2024/04/23
ER  -