Twitter public sentiment dynamics on cruise tourism during the COVID-19 pandemic

被引:34
|
作者
Lu, Yonggang [1 ]
Zheng, Qiujie [1 ]
机构
[1] Univ Maine, Maine Business Sch, Orono, ME 04469 USA
关键词
Cruise tourism; power relation; public sentiment; sentiment analysis; topic modelling; INFORMATION;
D O I
10.1080/13683500.2020.1843607
中图分类号
F [经济];
学科分类号
02 ;
摘要
This study reports time-series dynamics of Twitter public sentiment on cruise tourism and its driving factors during the COVID-19 pandemic. We conduct sentiment analysis on a large collection of tweets posted between 1 February and 18 June 2020. On the basis of recent research literature, our analysis results enhance understanding of the impact of COVID-19 on the cruise industry. Our study also demonstrates the value of sentiment analysis and echoes the recent call for using sentiment analysis as an important tool in tourism research.
引用
收藏
页码:892 / 898
页数:7
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