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

Authors

LUSTIGOVÁ, Zdena and Štěpán CHALUPA

Edition

Istanbul, Turkey, Proceedings of 7th World Conference for Graduate Research in Tourism, Hospitality and Leisure, 6 pp. 2014

Other information

Language

English

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
Změněno: 27/2/2014 10:31, doc. RNDr. Zdena Lustigová, CSc.

Abstract

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.