Analyzing online reviews of foreign tourists to destination attractions in China: a novel text mining approach-Reference-Cited by-同舟云学术

Analyzing online reviews of foreign tourists to destination attractions in China: a novel text mining approach

Published:2023-07-03 Issue:7 Volume:28 Page:647-666
ISSN:1094-1665
Container-title:Asia Pacific Journal of Tourism Research
language:en
Short-container-title:Asia Pacific Journal of Tourism Research

Author:

Li Xiaokun¹^ORCID,Zhang Yao²,Mei Liyang¹

Affiliation:

1. Department of Operations and Logistics Management, School of Business Administration, Northeastern University, Shenyang, People’s Republic of China

2. Department of Operations Management, School of Economics and Management, Dalian University of Technology, Dalian, People’s Republic of China

Funder

National Natural Science Foundation of China

Publisher

Informa UK Limited

Subject

Tourism, Leisure and Hospitality Management,Geography, Planning and Development

Link

https://www.tandfonline.com/doi/pdf/10.1080/10941665.2023.2255315

Reference49 articles.

1. Sentiment analyses of multilingual tweets on halal tourism

2. Sentiment Analysis in Tourism: Capitalizing on Big Data

3. Big data use in determining competitive position: The case of theme parks in Hong Kong

4. Exploring destination's negative e-reputation using aspect based sentiment analysis approach: Case of Marrakech destination on TripAdvisor

5. Mining the text of online consumer reviews to analyze brand image and brand positioning

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