Publication:
An application of text mining to capture and analyze eWOM: A pilot study on tourism sector

dc.contributor.authorsDirsehan T.
dc.date.accessioned2022-03-15T02:10:40Z
dc.date.accessioned2026-01-11T10:54:43Z
dc.date.available2022-03-15T02:10:40Z
dc.date.issued2015
dc.description.abstractMarketing concept has progressed through different phases of evolution in the past. At the moment, customer relationship management is considered as the last era of marketing development. The main purpose of this approach is to build long-term oriented profitable relationships with customers. So, companies should know better their customers. This knowledge can be created through a deeper analysis of companies' data with data mining tools. Companies which are able to use data mining tools will gain strong competitive advantages for their strategic decisions. Hotel industry is selected in this study, since it provides a warehouse of customer comments from which precious knowledge can be obtained if text mining as a data mining tool is used appropriately. Thus, this study attempts to explain the stages of text mining with the use of Rapidminer. As a result, different approaches according to the customer satisfaction/dissatisfaction are discussed to build competitive advantages. © 2015, IGI Global. All rights reserved.
dc.identifier.doi10.4018/978-1-4666-9449-1.ch010
dc.identifier.isbn9781466694507; 1466694491; 9781466694491
dc.identifier.urihttps://hdl.handle.net/11424/247552
dc.language.isoeng
dc.publisherIGI Global
dc.relation.ispartofCapturing, Analyzing, and Managing Word-of-Mouth in the Digital Marketplace
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.titleAn application of text mining to capture and analyze eWOM: A pilot study on tourism sector
dc.typebookPart
dspace.entity.typePublication
oaire.citation.endPage186
oaire.citation.startPage168
oaire.citation.titleCapturing, Analyzing, and Managing Word-of-Mouth in the Digital Marketplace

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