A Segmented Machine Learning Modeling Approach of Social Media for Predicting Occupancy Demand. International Journal of Contemporary Hospitality Management
By: APOSTOLOS AMPOUNTOLAS, Ph.D. Abstract Purpose This study aims to predict hotel demand through text analysis by investigating keyword series to increase demand predictions’ precision. To do so, this paper presents a framework for modeling hotel demand that incorporates machine learning techniques. Design/methodology/approach The empirical forecasting is conducted by introducing a segmented machine learning approach […]