Language Understanding APIs
Language Understanding APIs
Semantic Analysis for Hotel Reviews is publicly available.
By Tom Krupa, On 9th September 2020
We are happy to announce that Semantic Analysis for Hotel Reviews is publicly available on RapidAPI (link).
What is a Semantic Analysis for Hotel Reviews?
It is a Language Understanding API consisting of 149 language understanding models trained&tested on Hotel Reviews, B&B Reviews, and other accommodation reviews.
For more information, visit our product site: http://unicornnlp.com/?Semantic-Analysis-for-Hotel-Reviews
API Documentation: http://unicornnlp.com/?API-Documentation-Semantic-Analysis-Reviews
RapidAPI Link (use this link to connect to the API): https://rapidapi.com/unicornNLP/api/semantic-analysis-for-hotel-reviews
Semantic Analysis for Hotel Reviews
- You can use the public SaaS version (RapidAPI), or contact us to get the On-Premise version with 0 cents/text,
- Trained and tested on hundreds of thousands of hotel and other accommodation reviews,
- Get custom-made version that is tailored to your needs, trained&tested on your data (you get ready-to-use technology that you can integrate into your product in days),
- 149 Semantic models designed especially for hotel reviews which capture 90% of the information contained within,
- Proven state-of-the-art human-like accuracy (precision=90-95%, recall=70-85%) manually tested on tens of thousands of hotel reviews.
How it works on a single review
Example hotel review:
Simplified output after processing by Semantic Analysis for Hotel Reviews:
| 1. | The hotel was clean and renovated, service was friendly too |
hotel
clean +1
staff helpful, friendly +2 hotel renovated +1 |
| 2. | But thats it | |
| 3. | The bathroom was dirty, Shower got poor pressure |
bathroom
shower problem -2
bathroom dirty -2 |
| 4. | I think there were fleas in our bed |
deal breaker
bugs -2
|
| 5. | The pool was closed during our stay and staff couldn't tell us where it will be open and does not seem to care |
pool
closed -2
staff unfriendly, unhelpful -2 |
| 6. | The breakfast was a joke, the portions was small and we were told that we could pay to get more, so it wasn't free as promised |
breakfast
poor, limited -1
breakfast not free as promised -2 breakfast bad -1 |
| 7. | Wanted to get my money back but they refused, not coming back |
opinion
will not return -2
payment refound problem -1 |
What is inside Semantic Analysis for Hotel Reviews
Semantic Analysis for Hotel Reviews consists of 149 Semantic Models. Each Semantic model was especially designed, built, tested, and re-tested on hundreds of thousands of accommodation reviews from 10 different sources. All presented Semantic Models work with an unparalleled precision of 90-95%.
Below, you will find a high-level view of all semantic models designed for hotel reviews.
In other words, what type of information do we garner from reviews.
Client loyalty
Will he come back? vs. not come back?
Will he recommend it? vs. not recommend?
Was he satisfied. vs. disappointed?
Hotel Opinions
How was the hotel in general? Was it clean? Dirty?
Was it nice? Smelly? Renovated? Outdated?
Was a visit satisfying? Is this hotel a hidden gem?
Critical opinions / Alerts for the owners
Bed bugs? Theft? Felt secure?
The hotel was not as advertised? Misleading info?
Dirty hotel? Is service unpleasant/unprofessional? Didn't care?
Contact problem with the Manager? Problem with refund?
Room&Bathroom Opinions
Room - Was it spacious? Was it clean? Was it comfy?
Was it outdated? Renovated? Does it have amenities?
Bathroom - Was it clean? Soap provided? Poor shower pressure?
Kitchen amenities - Is there a fridge, coffee maker, cups?
Location Opinions
Opinion In General - Is it a good location?
Close to: City center? Public transportation? Restaurants? Shopping? Airport? Highway? Nature?
Neighborhood: Is it a good neighborhood? Is it safe?
Service Opinions
Staff - Friendly? Professional?
Manager - Friendly? Professional? Available?
Check-in - Is it smooth, fast or slow?
Cleaning service - Good? Friendly? Professional?
Accessibility Opinions
Handicap accessible or complaints?
Elevator - Available? Fast? Working fine or broken?
Bus Shuttle - Is it available? Is it free?
Parking - Is it ok? Big? Small? Is it free?
Valet parking - Available? Professional?
Addons Opinions
WiFi - Is it free? Is it fast? Works in the room?
Pool - Is it open? Is it clean? Big? Small?
Gym - Is it well-equipped? Big? Small?
TV - Is it new? Big? A lot of tv channels?
Pet - Friendly/Unfriendly?
Price/Payment
Problem with payments? Problem with a credit card?
Problem with refund? Problem with the bill?
Hotel charged additional fees? Hidden fees?
Food Opinions
Breakfast - Varied and abundant? Or maybe small and limited?
Tasty?
Free as promised? Did you have to pay extra?
Food in restaurant- Is it an adequate price? Is it expensive?
You can start using this API today.
If you want to get custom-made private API with different models, or receive more info about the custom On-Premise version with 0 cents/text