Zhang, Ying, Song, Jiehang, Sciacca, Angelo, Chan, Jin ORCID: 0000-0002-6275-9763 and Qi, Xiaoguang (2022) Novel sentiment lexica derived from user generating content by Chinese tourists in Pacific islands. Sustainability, 14 (23):15833. pp. 1-23. ISSN 2071-1050 (Online) (doi:https://doi.org/10.3390/su142315833)

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Abstract

Identification of tourists’ sentiments is relevant to the destination’s planning. Tourists generate extensive User Generated Content (UGC)—embedding their sentiments—in the form of textual data when sharing experiences on the Internet. These UGC tend to influence tourists’ decision-making, thus, representing an important data source for tourism research and planning. By obtaining data from Mafengwo and Ctrip, sentiment analysis was conducted to shed light on the sentiment tendency of Chinese tourists in seven Pacific Island Countries and Territories (PICTs). Eleven thousand two hundred four reviews were obtained between January and March 2021. The data shows that Chinese tourists’ sentiments towards the PICTs are overall positive. Yet, they pay more attention to practical issues such as transportation, visa and fees, and their sentiment orientations are influenced by tourism resources, weather, and perceived safety. Moreover, the study demonstrates that the needs of Chinese tourists in the region are influenced by their physiology, security, self-esteem, belonging, and self-actualisation needs. The study contributes to theory and practice by constructing an exclusive set of Chinese sentiment lexicons for tourism research based on data from the PICTs. This lexicon complements but also contradicts previous studies. In addition to being relevant for the studied region, it can inform similar destinations that may or may not have a relevant Chinese tourism market.

Item Type:	Article
Uncontrolled Keywords:	This article belongs to the Special Issue Emerging Destinations Tourism Economics.
Subjects:	G Geography. Anthropology. Recreation > GT Manners and customs G Geography. Anthropology. Recreation > GV Recreation Leisure H Social Sciences > HB Economic Theory
Faculty / School / Research Centre / Research Group:	Greenwich Business School Greenwich Business School > School of Business, Operations and Strategy Greenwich Business School > Networks and Urban Systems Centre (NUSC)
Last Modified:	27 Sep 2024 12:03
URI:	http://gala.gre.ac.uk/id/eprint/38138

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