Trend analysis of online travel review text mining over time
Journal of Modelling in Management
ISSN: 1746-5664
Article publication date: 4 December 2019
Issue publication date: 23 April 2020
Abstract
Purpose
The reviews of online tourism have not been taken advantage of effectively because the text data of such reviews is enormous and its current, in-depth research is still in infancy. Therefore, it is expected that the text data could be processed by the method of text mining to better understand the implicit information. The purpose of this paper is to contribute to tourism practitioners and tourists to conveniently use the texts through appropriate visualization processing techniques. In particular, time-changing reviews can be used to reflect the changes in tourists’ feedback and concerns.
Design/methodology/approach
Latent semantic analysis is a new branch of semantics. Every term in the document can be regarded as a single point in multi-dimensional space. When a document with semantics comes into such space, the distribution of the document is not random, but will obey some type of semantic structure.
Findings
First, overall grasping for the big data is applicable. Second, propose a direct method is proposed that allows more non-language processing researchers or proprietors to use the data. Lastly, the results of changes in different spans of times are investigated.
Originality/value
This paper proposes an approach to disclose a significant number of travel comments from different years that may generate new ideas for tourism. The authors put forward a processing approach to deal with large amounts of texts of comments. Using the case study of Mt. Lushan, the various changes of travel reviews over the years are successfully visualized and displayed.
Keywords
Citation
Zhang, K. and Koshijima, I. (2020), "Trend analysis of online travel review text mining over time", Journal of Modelling in Management, Vol. 15 No. 2, pp. 491-508. https://doi.org/10.1108/JM2-10-2018-0178
Publisher
:Emerald Publishing Limited
Copyright © 2019, Emerald Publishing Limited