A content analysis of online reviews to identify hotel attributes across different platforms
Faculty of Hospitality and Tourism Management, Macau University of Science and Technology, Taipa, China
ABSTRACT: This study analyzes the similarities and differences of hotel attributes’ consumer preferences in online reviews between different platforms through content analysis. A text-mining software, CATPACII, with a self-organizing artificial neural network was employed to analyze the online review content. Examining the word frequency tables and each platform's dendogram outputs reveals that the most influential consumer hotel satisfaction attributes are hotel, room, stay, staff, ...
Get Economic and Business Management now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.
