I can corroborate some of the high level factoids in this. I work for a company with a large set of hotel sentiment data that should be a superset of the data

I can corroborate some of the high level factoids in this. I work for a company with a large set of hotel sentiment data that should be a superset of the data in the linked post. It's probably around 35M reviews over several major sites. 82% of sentiments being positive sounds plausible. Ours is somewhat lower but still well over 50%. I think it's in the 70s. Practically speaking, I've had some really frustrating conversations with people in the industry trying to explain that a hotel can have positive sentiment and still be way below average for a given cohort. Wifi sucks - that matches our data. Within the most common entities we extract, the only thing worse than wifi is "maintenance", which has a much lower occurrence rate. Unsurprisingly, nobody really talks about maintenance unless something's broken. Location is generally highly rated. Surprisingly to me, so is "service" and equivalents. Anecdotally, the croissant thing sounds correct. A lot of reviewers use the example of cold croissants to describe an unimpressive continental breakfast.