ADVANTAGES AND LIMITS OF TEXT MINING SOFTWARE FOR ANALYSIS OF CUSTOMERS' REVIEWS ON BOOKING PORTALS

@inproceedings{10875,
   author = {Lustigová, Zdena and Chalupa, Štěpán},
   address = {Istanbul, Turkey},
   booktitle = {Proceedings of 7th World Conference for Graduate Research in Tourism, Hospitality and Leisure},
   editor = {Metin Kozak & Nazmi Kozak},
   keywords = {business intelligence, data mining, text mining, customers relationship, hotel and spa industry},
   howpublished = {tištěná verze "print"},
   language = {eng},
   location = {Istanbul, Turkey},
   title = {ADVANTAGES AND LIMITS OF TEXT MINING SOFTWARE FOR ANALYSIS OF CUSTOMERS' REVIEWS ON BOOKING PORTALS},
   year = {2014}
}

TY  - JOUR
ID  - 10875
AU  - Lustigová, Zdena - Chalupa, Štěpán
PY  - 2014
TI  - ADVANTAGES AND LIMITS OF TEXT MINING SOFTWARE FOR ANALYSIS OF CUSTOMERS' REVIEWS ON BOOKING PORTALS
CY  - Istanbul, Turkey
KW  - business intelligence, data mining, text mining, customers relationship, hotel and spa industry
N2  - 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.
ER  - 

LUSTIGOVÁ, Zdena a Štěpán CHALUPA. ADVANTAGES AND LIMITS OF TEXT MINING SOFTWARE FOR ANALYSIS OF CUSTOMERS' REVIEWS ON BOOKING PORTALS. In Metin Kozak \&{} Nazmi Kozak. \textit{Proceedings of 7th World Conference for Graduate Research in Tourism, Hospitality and Leisure}. Istanbul, Turkey, 2014, 6 s.