Utilize este identificador para referenciar este registo: http://hdl.handle.net/10362/138131
Título: The impact of Covid-19 on airbnb: a NlP-based approach of analyzing shifting risk perceptions among tourists during the pandemic
Autor: Abazi, Lorian
Orientador: Han, Qiwei
Palavras-chave: Machine learning
Covid-19 impact
Hospitality management
Tourism industry
Shared economy
Natural language processing
Sentiment analysis
Short-term rental market
Data de Defesa: 13-Dez-2021
Resumo: The COVID-19pandemic has tremendously impacted our society, with massive economic shifts, including within the tourism industry. The aim of this research is to answer the question of how risk awareness has developed among tourists during the COVID-19 pandemic. Using Airbnb reviews, this research examines whether perception of cleanliness has changed since the outbreak and how this has affected indicators such as occupancy, price and monthly income. Based on Latent Dirichlet Allocation topic modelling algorithm, this paper shows that there has been a change in risk perception, which also has a positive impact on the performance indicators of cleanly-perceived properties.
URI: http://hdl.handle.net/10362/138131
Designação: Gestão (mestrado internacional)
A Work Project, presented as part of the requirements for the Award of a Master’s degree in Management from the Nova School of Business and Economics.
Aparece nas colecções:NSBE: Nova SBE - MA Dissertations

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