How to exploit Big Social Data in the Covid-19 pandemic: the case of the Italian tourism industry

被引：0
|
作者：
Gianluca Solazzo
Ylenia Maruccia
Valentina Ndou
Pasquale Del Vecchio
机构：
[1] University of Salento – ‘Building “Aldo Romano”,Department of Engineering for Innovation
来源：
Service Business | 2022年 / 16卷
关键词：
Covid-19; Big Social Data; Smart Tourism Destination; Topic extraction; Sentiment analysis;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
From March 2020, restrictive measures have been taken to limit the Covid-19 pandemic, thus impacting and hugely affecting the tourism industry. In this new scenario, tourism destination managers and stakeholders need to look ahead to the future, trying to wisely react to overcome this crisis. This paper aims at demonstrating how a Smart Tourism Destination can tackle the consequences of the Covid-19 pandemic using smart and digital technologies such as Big Data and Analytics. In particular, the monitoring of Italian public debates on social media allowed discovering knowledge from unstructured data that provide valuable insights for destination stakeholders and decision-makers.
引用
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页码：417 / 443
页数：26
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