Tourism Attraction Selection with Sentiment Analysis of Online Reviews Based on Probabilistic Linguistic Term Sets and t
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Tourism Attraction Selection with Sentiment Analysis of Online Reviews Based on Probabilistic Linguistic Term Sets and the IDOCRIW-COCOSO Model Yuyan Luo1,2 • Xiaoxu Zhang1 • Yong Qin3 • Zheng Yang1 • Yuan Liang1
Received: 1 April 2020 / Revised: 29 July 2020 / Accepted: 18 September 2020 Taiwan Fuzzy Systems Association 2020
Abstract The Internet has provided many platforms for tourists to spread tourism-related information, resulting in a large amount of online review data on tourist attractions. Mining and analyzing online reviews by using modern information technology are of great importance. They affect tourists’ travel decisions and ensure the effective management of tourism attraction managers. We establish a multi-dimensional comprehensive evaluation indicator system based on the online reviews of 5A-level tourism attractions in 31 provinces and cities of China. We also utilize probabilistic linguistic term sets (PLTSs) to process the result of sentiment orientation and establish the integrated determination of objective criteria weights (IDOCRIW)-combined compromise solution (COCOSO) model to calculate the aggregate weight of attributes and rank the final evaluation of tourism attractions. Finally, we apply
& Yong Qin [email protected] Yuyan Luo [email protected] Xiaoxu Zhang [email protected] Zheng Yang [email protected] Yuan Liang [email protected] 1
College of Management Science, Chengdu University of Technology, Chengdu 610059, China
2
Post-Doctorate R&D Base of Management Science and Engineering, Chengdu University of Technology, Chengdu 610059, China
3
Business School, Sichuan University, Chengdu 610064, China
the proposed model to a case study on selecting tourism attractions and illustrate the effectiveness of this work. Keywords Probabilistic linguistic term sets IDOCRIW method COCOSO method Sentiment orientation 5Alevel tourism attractions
1 Introduction An upsurge of research has been observed in China and abroad since the image research of tourism attractions was formally put forward in the 1970s. For a few decades, scholars in China and abroad have conducted studies on selecting tourist attractions by using multi-criteria decision-making (MCDM) methods and have gradually formed research methods supported by quantitative and qualitative data. Thus, paying attention to the research progress and the future situation of tourism attraction selection and analyzing the characteristics and attributes of its knowledge evolution are given great importance to promote the follow-up study of tourism attraction selection. The selection of tourism attractions starts from the evaluation of information of tourism attractions. The number of papers on the evaluation of tourism attractions has always shown an upward trend, and research related to the evaluation of tourism attractions has always been of great concern. Research on the evaluation and selection of tourism attractions has mainly used micro-survey data to study multi-factor measurement and relationship analysis and
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