Language Understanding APIs
Language Understanding APIs
Semantic Analysis for Apartment Reviews is publicly available.
By Tom Krupa, On 11th November 2020
We are happy to announce that Semantic Analysis for Apartment Reviews is publicly available in RapidAPI (link).
What is a Semantic Analysis for Apartment Reviews?
It is a Language Understanding API consisting of 149 language understanding models trained&tested on apartment, vacation rental, home rental and other accommodation reviews.
For more information, visit our product site: http://unicornnlp.com/?Semantic-Analysis-for-Apartment-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-apartment-reviews
Semantic Analysis for Vacation Rental/Apartment Reviews
- You can use the public SaaS version (RapidAPI), or contact us to get custom-made private API, or get the On-Premise version with 0 cents/text,
- Trained and tested on hundreds of thousands of vacation rental/apartment and other accommodation reviews,
- Get a 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),
- 142 Semantic models designed, trained&tested on apartment, vacation/home rental, and other accommodation 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 vacation rental/apartment reviews.
How it works on a single review
Example apartment review:
Simplified output after processing by Semantic Analysis for Apartment Reviews:
| 1. | We got this apartment because of its cheap price and near to the centre |
close to
city center +1
apartment inexpensive +1 |
| 2. | The apartment was a little bit small and the bed was not that comfortable |
apartment
small -1
bed uncomfy -2 |
| 3. | There was a lot of lovely decorations and it was nice |
decor
nice +1
|
| 4. | There was very fast wifi, which was great |
wifi
works good +2
|
| 5. | However there was no parking spaces in front of the house so we spend some time sechrching for a place |
parking
lack of -1
|
| 6. | Also the neighborhood was full of drunken people, probably it was because the house was not that far from downtown and beach and there was a lot of homeless people |
neighborhood
not safe -2
close to city center +1 close to beach +1 |
| 7. | Will not come back |
opinion
will not return -2
|
Semantic Analysis for Vacation Rental / Apartment Reviews consists of 142 dedicated Semantic Models. Each Semantic model was especially designed, built, tested, and re-tested on hundreds of thousands of vacation rental, apartment and other 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 apartment reviews.
In other words, what type of information do we garner from reviews.
Client loyalty & Recommendations
Will he come back? vs. not come back?
Will he recommend it? vs. not recommend?
Overall good/satisfied. vs. disappointed?
Is it recommended for: Couples? Family with kids?
Apartment Opinions
How was the apartment in general? Clean? Dirty? Renovated? Outdated? Were stairs too steep?
Was everything as advertised?
Garden/Terrace available/not available?
Critical opinions / Alerts for the owners
Bed bugs? Theft? Felt secure?
Apartment was not as advertised?
Dirty apartment? Does the host respect privacy?
Rooms&Bedrooms Opinions
Rooms - Spacious? Clean? Did everything work fine?
Bed - Comfortable? Uncomfortable?
Living Room: Ok? Big? Tiny?
Was there adequate sleeping spaces?
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?
Bathroom&Kitchen Opinions
Kitchen: Amenities available/not available?
Bathroom: Was it clean? Spacious or small? Has good amenities? Was it shared or private?
Shower was alright? Is pressure good?
Accessibility Opinions
Handicap accessible or complaints?
Bathrooms/Stairs are handicap accessible?
Were keys at the location? Do they have a keypad entry?
Does it have parking? Is it ok? Is it big? Is it easy to find a space?
Host Opinions
Was the host polite? Friendly? Well informed? Did he respond quickly? Did he respect privacy? Was he at the location? Does he have a pet? Or maybe lack of any interactions?
Price/Payment Opinions
Problem with payments?
Problem with refund?
Additional fees? Is a deposit necessary?
Was it expensive? Cheap? Was price adequate or overpriced?
Amenities Opinions
Detergents available/not available?
Laundry machine available/not available?
Washing machine available/not available?
Complementary wine/fruits/snacks/food?
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