Cargando…
Twitter data sentiment analysis of tourism in Thailand during the COVID-19 pandemic using machine learning
The coronavirus disease 2019 (COVID-19) pandemic has severely affected Thailand's economy, which relies heavily on tourism. In this study, we labeled the sentiment and intention classes of English-language tweets related to tourism in Bangkok, Chiang Mai, and Phuket. Then, the accuracy of three...
Autores principales: | Leelawat, Natt, Jariyapongpaiboon, Sirawit, Promjun, Arnon, Boonyarak, Samit, Saengtabtim, Kumpol, Laosunthara, Ampan, Yudha, Alfan Kurnia, Tang, Jing |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9527204/ https://www.ncbi.nlm.nih.gov/pubmed/36211996 http://dx.doi.org/10.1016/j.heliyon.2022.e10894 |
Ejemplares similares
-
Factors affecting worriedness: A study of the COVID-19 pandemic in Japan
por: Lertsakornsiri, Penpichaya, et al.
Publicado: (2022) -
Universal health coverage mitigated COVID-19 health-related consequences in Asia Oceania
por: Saengtabtim, Kumpol, et al.
Publicado: (2023) -
Exploring the sentiment of entrepreneurs on Twitter
por: Waters, James, et al.
Publicado: (2021) -
In the mood: the dynamics of collective sentiments on Twitter
por: Charlton, Nathaniel, et al.
Publicado: (2016) -
A model for the Twitter sentiment curve
por: Aletti, Giacomo, et al.
Publicado: (2021)