Author: Lu, YongGang Zheng QiuJie
Title: Twitter public sentiment dynamics on cruise tourism during the COVID-19 pandemic. (Special Issue: COVID-19 and tourism.) Cord-id: 7xszo8ek Document date: 2021_1_1
ID: 7xszo8ek
Snippet: 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 a
Document: 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.
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