Covid-19 and tourism
Extracting public attitudes
Bibliographic Data
| ID | 21699167 |
|---|---|
| Authors | Mahdi Hajiabadi (University of Birjand), Hamed Vahdat-Nejad (University of Birjand), Hamed Vahdat‐Nejad (0000-0002-1478-2686, University of Birjand, corresponding author), Hamideh Hajiabadi (0000-0002-5793-4563, Department of Computer Engineering, Birjand University of Technology, Birjand, Iran) |
| Year | 2023 |
| Volume | 26 |
| Issue | 4 |
| Pages | 547-553 |
| Publication date | 2023-02-16 |
| Open Access | No |
| Type | ARTICLE |
| Venue | Current Issues in Tourism (JOURNAL) |
| Journal identifiers | ISSN: 1368-3500 • E-ISSN: 1747-7603 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/13683500.2022.2095507 |
| OpenAlex | W4283784429 |
| Language | EN |
| Citations received | 1 |
| References cited | 14 |
Taking advantage of the users’ posts on Twitter, we investigate the impact of COVID-19 on tourism in the early months of the epidemic. For this purpose, more than two million tweets published in the first months of the outbreak are analyzed. A comprehensive lexicon of keywords in the field of tourism, as well as international airlines, is collected and used for extracting tourism-related tweets. Employing a new model based on the RoBERTa language, we extract the sentiments of tweets for different countries. The results show differences in users’ positive or negative views in different countries. While in some countries, such as Germany, the public view is positive, the public view is negative in other countries, such as Russia
2019-20 coronavirus outbreak · Advertising · Business · Lexicon · Outbreak · Political science · Sentiment analysis · Tourism · Computer Science · Digital Marketing and Social Media · Diverse Aspects of Tourism Research · Law · Medicine · Sentiment Analysis and Opinion Mining · Artificial Intelligence
| Citations per year | 0.5 |
|---|---|
| Citation span | 2024 - 2024 (1) |
| Highly cited | No |