D 2014

TEXT MINING ANALYSIS FOR THE IMPROVEMENT OF CUSTOMERS RELATIONSHIP IN HOSPITALITY MANAGEMENT

LUSTIGOVÁ, Zdena

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

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 10:36, doc. RNDr. Zdena Lustigová, CSc.

Abstract

V originále

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.