What Guests Really Think of Your Hotel: Text Analytics of Online Customer Reviews
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Hotel ratings do not tell the full story of how guests view a hotel, according to an analysis of the text of 5,830 reviews covering 57 hotels in Moscow, Russia. The study found, for instance, that negative comments have a heavier weight in a guest’s rating of a hotel than do positive comments. This uneven weighting means that a simple average of positive and negative scores may not provide a clear view of guests’ opinion of the hotel. This finding also underlines the importance of consistency, because guests’ bad feelings from poor service generally will submerge their favorable feelings from good service. The study applied a regression analysis to the relationships of 18,106 distinct terms relating to five specific attributes—amenities, experience, location, transactions, and value. Reviews for different hotel tiers gave varying weights to those attributes. For instance, the guest’s experience was mentioned more commonly in reviews of high-tier hotels, while amenities and location came up more frequently for motels in the middle tier compared to hotels in other tiers. Guests at the lower tier properties wrote more commonly about transactions and value than those staying at hotels in the middle and high tiers. One particularly noticeable feature of the reviews is that ratings sank when guests wrote lengthy reviews that focused tightly on a limited number of hotel attributes, while relatively briefer reviews that took a wider view of the hotel generally had higher ratings. The study also found that guests write more about value and transactions when they are dissatisfied. Thus, text analytics can point to specific steps managers can take to improve guests’ assessments and their hotels’ ratings.
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online reviews; data mining; guest reviews; hotel ratings; guest feedback
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