D
2014
ADVANTAGES AND LIMITS OF TEXT MINING SOFTWARE FOR ANALYSIS OF CUSTOMERS' REVIEWS ON BOOKING PORTALS
LUSTIGOVÁ, Zdena and Štěpán CHALUPA
Basic information
Original name
ADVANTAGES AND LIMITS OF TEXT MINING SOFTWARE FOR ANALYSIS OF CUSTOMERS' REVIEWS ON BOOKING PORTALS
Edition
Istanbul, Turkey, Proceedings of 7th World Conference for Graduate Research in Tourism, Hospitality and Leisure, 6 pp. 2014
Other information
Type of outcome
Stať ve sborníku
Field of Study
10103 Statistics and probability
Country of publisher
Turkey
Confidentiality degree
není předmětem státního či obchodního tajemství
Publication form
printed version "print"
Organization unit
University College Prague – University of International Relations and Institute of Hospitality Management and Economics, Ltd.
Keywords in English
business intelligence, data mining, text mining, customers relationship, hotel and spa industry
Tags
International impact, Reviewed
V originále
Presented article deals with the possibilities of using statistical software packages that includes data mining and text mining tools, for the analysis of unstructured text, offered by booking portals in the form of multilingual information, hidden in customer reviews. 10080 reviews on 36 luxury accommodation facilities available from booking.com were used to test the Statistica and SPSS software package. Reviews were created and published by customers in 32 languages. The Statistica SW has not been proven very beneficial, especially in the area of processing multilingual information. Despite all efforts, nearly half of languages used by customers failed to process.
Displayed: 8/11/2024 02:25