There are countless websites, social networks and booking sites which encourage travelers to write hotel reviews. Some of these sites are international, while others cater to a local audience. Every day hundreds of thousands of reviews get published.
Olery scans these sites for new reviews, collects and stores them through various technologies in near real-time. We call this system the Olery Data Platform. All applications, reports and our API make use of it.
A lot of the experiences guests have in hotels are documented in the written review comments. Natural Language Processing makes it possible to extract these insights from reviews in 6 languages.
Most reviews consist of two parts. One is the guest’s written comment, the other one are ratings. Many sites ask the reviewer to evaluations topics like cleanliness or service by stars, points or percentages. There is no universally accepted set of ratings. Every site employs their own system of ratings.
Olery captures all ratings and combines them into 10 sub-ratings. The volume of ratings and the diversity of the reviewers make these sub-ratings a very reliable data source which can be monitored day-to-day over long periods of time.