A SUPPORT SYSTEM FOR TOURISM SERVICES ASSESSMENT AND RECOMMENDATION BASED ON OPINION MINING ONLINE CUSTOMER REVIEWS

Abstract

This research was conducted to propose the a architecture model with solutions to support tourism services assessment and recommendations based on the opinion mining methods. This research approach is based on an industry standard data mining method (CRISP-DM). Data for the research are reviews of tourist about hotels in major provinces and cities in Vietnam, which automatically collected on Agoda. Based on empirical results, the research has some recommendations to be able to implement this system in the tourism industry. This research is valuable as a reference for researchers not only in the field of tourism but also in the fields of business and management.