Twitter sentiment analysis: An estimation of the trends in tourism after the outbreak of the Covid-19 pandemic

Categoria dell'articolo: Research Article

Pubblicato online: 18 nov 2023

Pagine: 40 - 48

Ricevuto: 06 giu 2021

Accettato: 16 gen 2023

DOI: https://doi.org/10.2478/ejthr-2023-0004

Parole chiave

Tourism, sentiment analysis, Covid-19 pandemic, logistic regression, Python, revival strategy

© 2023 Garima Malik et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.