LUSTIGOVÁ, Zdena. TEXT MINING ANALYSIS FOR THE IMPROVEMENT OF CUSTOMERS RELATIONSHIP IN HOSPITALITY MANAGEMENT. In Metin Kozak & Nazmi Kozak. Proceedings of 3rd Interdisciplinary Tourism Research Conference. Istanbul, Turkey, 2014, 6 pp.
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Basic information
Original name TEXT MINING ANALYSIS FOR THE IMPROVEMENT OF CUSTOMERS RELATIONSHIP IN HOSPITALITY MANAGEMENT
Authors LUSTIGOVÁ, Zdena.
Edition Istanbul, Turkey, Proceedings of 3rd Interdisciplinary Tourism Research Conference, 6 pp. 2014.
Other information
Original language English
Type of outcome Proceedings paper
Field of Study 10103 Statistics and probability
Country of publisher Turkey
Confidentiality degree is not subject to a state or trade secret
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
Changed by Changed by: doc. RNDr. Zdena Lustigová, CSc., učo 12440. Changed: 27/2/2014 10:36.
Abstract
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. 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, mainly with respect to customers relationship area.
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