Sentiment analysis of visitors to the tourist destinations Borobudur Temple in Indonesia needs be done determine expected product and service preferences. In addition, sentiment is also helpful for managers adjust tourists infrastructure provided destination area. The classification method used Naïve Bayes Classifier (NBC) against 3850 visitor reviews at Temple. Review data pulled from Tripadvi...

Seyahat acenteleri, turistik ürüne ulaşmak isteyen tüketiciler için büyük öneme sahip aracı işletmeler olarak bilinmektedir. Günümüzde teknolojinin de gelişmesi ile birlikte şikâyetlerini yayınlamayı tercih etmektedir. Bu çalışmanın amacı Kapadokya Bölgesi’nde faaliyet gösteren seyahat acentelerine yönelik e-şikâyetlerin içerik analizi incelenmesi ve bölgedeki mevcut durumun tespit edilmesidir....

World Heritage Sites (WHSs) are perceived as significant tourism brands. However, there is no in-depth analysis of the intangible meaning (WH) cultural attraction types from visitor’s lens. This study employed text mining and a Brand Personality (BP) lexical approach using WH personality categories to identify attractions with meanings in WHSs located seven countries Asia Pacific Europe. enable...

This study was developed to understand how tourists feel after dreamed travel experiences ended up cancelled. The orchestra model that considers as an intermingled process applied analyse the negative feelings experienced by during these pandemic times. Through web scraping, over 40 thousand comments from 600 threads discussing impact on tourists’ inability concretize their dreams were extracte...

This study examined customers’ green reviews on TripAdvisor and identified environmentally friendly themes concepts. The differences among the 10 countries in terms of volume satisfaction ratings were also analysed. Using Leximancer analysis multivariate a big dataset, we adopted mixed research method to analyse 121,780 posted for 87 hotels from top tourism countries. found that most important ...

Restaurant management requires customer responsiveness to deal with increasingly higher expectations and market competitiveness. This study proposes an approach simplify the decision-making process of restaurant managers by combining both live social media feedback historical sales data in a forecast model (based on TripAdvisor Bass model). Our was validated internal external (i.e., online revi...