Cargando…
Examining Post COVID-19 Tourist Concerns Using Sentiment Analysis and Topic Modeling
The COVID-19 pandemic has had a destructive effect on the tourism sector, especially on tourists’ fears and risk perceptions, and is likely to have a lasting impact on their intention to travel. Governments and businesses worldwide looking to revive and revamp their tourism sector, therefore, must f...
Autores principales: | Balasubramanian, Sreejith, Kaitheri, Supriya, Nanath, Krishnadas, Sreejith, Sony, Paris, Cody Morris |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7798058/ http://dx.doi.org/10.1007/978-3-030-65785-7_54 |
Ejemplares similares
-
Developing a mental health index using a machine learning approach: Assessing the impact of mobility and lockdown during the COVID-19 pandemic
por: Nanath, Krishnadas, et al.
Publicado: (2022) -
An enabling Framework for Blockchain in Tourism
por: Balasubramanian, Sreejith, et al.
Publicado: (2022) -
Examining ecotourism intention: The role of tourists' traits and environmental concerns
por: Rafiq, Farrukh, et al.
Publicado: (2022) -
Temporal and spatiotemporal investigation of tourist attraction visit sentiment on Twitter
por: Padilla, Jose J., et al.
Publicado: (2018) -
Users’ Concerns About Endometriosis on Social Media: Sentiment Analysis and Topic Modeling Study
por: Goel, Rahul, et al.
Publicado: (2023)