Application of Text Mining to Extract Hotel Attributes and Construct Perceptual Map of Five Star Hotels from Online Review: Study of Jakarta and Singapore Five-Star Hotels
Arga Hananto;
(Management Research Center (MRC) Department of Management, Faculty of Economics, University of Indonesia and Philip Kotler Center, [Date of publication not identified]
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The use of post-purchase online consumer review in hotel attributes study was still scarce inthe literature. Arguably, post purchase online review data would gain more accurate attributes thatconsumers actually consider in their purchase decision. This study aims to extract attributes from twosamples of five-star hotel reviews (Jakarta and Singapore) with text mining methodology. In addition,this study also aims to describe positioning of five-star hotels in Jakarta and Singapore based onthe extracted attributes using Correspondence Analysis. This study finds that reviewers of five starhotels in both cities mentioned similar attributes such as service, staff, club, location, pool and food.Attributes derived from text mining seem to be viable input to build fairly accurate positioning mapof hotels. This study has demonstrated the viability of online review as a source of data for hotelattribute and positioning studies. |
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Penerbitan : | [Place of publication not identified]: Management Research Center (MRC) Department of Management, Faculty of Economics, University of Indonesia and Philip Kotler Center, [Date of publication not identified] |
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ISSN : | 23562242 |
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Volume : | Vol. 7, No. 2, Juni 2015: Hal. 58-80 |
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Akses Elektronik : | http://journal.ui.ac.id/index.php/amj/article/view/5262 |
Institusi Pemilik : | Universitas Indonesia |
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