Understanding Tourist Perceptions and Expectations During Pandemic Through Social Media Big Data (Handbook of Research on the Impacts and Implications of COVID-19 on the Tourism Industry)
Yazarlar (1)
Doç. Dr. İbrahim SABUNCU Yalova Üniversitesi, Türkiye
| Bölüm Adı | Understanding Tourist Perceptions and Expectations During Pandemic Through Social Media Big Data | ||
| Kitap Adı | Handbook of Research on the Impacts and Implications of COVID-19 on the Tourism Industry | ||
| Bölüm Sayfaları | 330-350 | ||
| Kitap Türü | Kitap Bölümü | ||
| Kitap Alt Türü | Alanında uluslararası yayınlanan kitap bölümü | ||
| Kitap Niteliği | Scopus indeksinde taranan bilimsel kitap | ||
| Kitap Dili | İngilizce | Basım Tarihi | 01-2021 |
| DOI Numarası | 10.4018/978-1-7998-8231-2.ch016 | ISBN | 978-1-7998-8231-2 |
| Basıldığı Ülke | Amerika Birleşik Devletleri | Basıldığı Şehir | |
| Kitap Linki | https://www.igi-global.com/book/handbook-research-impacts-implications-covid/268789 | ||
| UAK Araştırma Alanları |
İş Analitiği
Sosyal Medya Uygulamaları ve Analizi
|
||
| Özet |
| This chapter describes social media's role in understanding the impact of the COVID-19 pandemic on the tourism industry. At first, collecting large amounts of unstructured data from tourism-related digital media, social media, and search engines is explained. Then how these data can be analysed with artificial intelligence and machine learning-based sentiment analysis, content analysis, and topic modelling algorithms is described based on similar studies in the literature. Finally, how the collected data can be used to understand tourists' positive and negative experiences in the pandemic and determine their expectations from tourism enterprises, tourism-related public institutions, and government officials is expressed. Consequently, this chapter summarises how the digital world's big data resources can be used to extract knowledge about tourism during the pandemic. |
| Anahtar Kelimeler |
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Yöksis | 21 |
| Scopus | 43 |
| Google Scholar | 3 |