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

Kategoria artykułu: Research Article

Data publikacji: 18 lis 2023

Zakres stron: 40 - 48

Otrzymano: 06 cze 2021

Przyjęty: 16 sty 2023

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

Słowa kluczowe

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.