The use of post-purchase online consumer review in hotel attributes study was still scarce in
the literature. Arguably, post purchase online review data would gain more accurate attributes that
consumers actually consider in their purchase decision. This study aims to extract attributes from two
samples 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 on
the extracted attributes using Correspondence Analysis. This study finds that reviewers of five star
hotels 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 map
of hotels. This study has demonstrated the viability of online review as a source of data for hotel
attribute and positioning studies.
