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@inproceedings{9591, author = {Lustigová, Zdena}, address = {Opava}, booktitle = {sborník konference AKTUÁLNÍ TRENDY LÁZEŇSTVÍ, HOTELNICTVÍ A TURISMU 2013}, edition = {1}, keywords = {business intelligence; data mining; text mining; hotel and spa industry}, howpublished = {paměťový nosič}, language = {eng}, location = {Opava}, isbn = {978-80-7248-858-2}, pages = {87-93}, publisher = {Slezská universita Opava}, title = {TEXT MINING IN HOTEL AND SPA INDUSTRY}, year = {2013} }
TY - JOUR ID - 9591 AU - Lustigová, Zdena PY - 2013 TI - TEXT MINING IN HOTEL AND SPA INDUSTRY PB - Slezská universita Opava CY - Opava SN - 9788072488582 KW - business intelligence KW - data mining KW - text mining KW - hotel and spa industry N2 - With the easy availability of huge volumes of text-based information freely available on the Internet and Intranet, text mining can be used by hotel and spa industry to develop competitive and strategic intelligence. Although the text mining software remains relatively expensive, the cost will inevitably fall. The paper reviews nowadays literature of text mining within hospitality industry management, and discusses features of selected text mining software packages in analyzing unstructured qualitative data in the following key steps: data preparation, data analysis, and result reporting. Based on comparative study, this article also presents examples of use and discusses potential, advantages and current technological limitations of text mining. ER -
LUSTIGOVÁ, Zdena. TEXT MINING IN HOTEL AND SPA INDUSTRY. In \textit{sborník konference AKTUÁLNÍ TRENDY LÁZEŇSTVÍ, HOTELNICTVÍ A TURISMU 2013}. 1. vyd. Opava: Slezská universita Opava, 2013, s.~87-93, 6 s. ISBN~978-80-7248-858-2.
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