Unicorn NLP - Language Understanding APIs for Reviews/User-Generated Content

By Tom Krupa, On 5th October 2020

We are happy to announce that Semantic Analysis for Hostel Reviews is publicly available on RapidAPI (link).

What is a Semantic Analysis for Hostel Reviews?
It is a Language Understanding API consisting of 149 language understanding models trained&tested on Hostel Reviews and other accommodation reviews.

For more information, visit our product site: http://unicornnlp.com/?Semantic-Analysis-for-Hostel-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-hostel-reviews

Consume this API (RapidAPI link)

Semantic Analysis for Hostel 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 hostel 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),
150 Semantic models designed especially for hostel 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 hostel reviews.

Example hostel review:

We stayed in this hostel for one night because it was close to the airport. The check in lasts 30mins so we got a little bit angry but it was because there was a lot of people. Beside that, everything was fine. Common room has bilard and ping-pong. At the end we had some troubles with the payments because they accepted only cash. Good value for money. Overall it is a good choice.

Simplified output after processing by Semantic Analysis for Hostel Reviews:

1.	We stayed in this hostel for one night because it was close to the airport	close to airport +1
2.	The check in lasts 30mins so we got a little bit angry but it was because there was a lot of people	check-in slow -2
3.	Beside that, everything was fine	opinion overall good, satisfied +2
4.	Common room has bilard and ping-pong.	common room has bilard +1 has ping-pong +1
5.	At the end we had some troubles with the payments because they accepted only cash	payments cash only -1
6.	Good value for money	hostel adequate price +1
7.	Overall it is a good choice	opinion overall good, satisfied +2

Semantic Analysis for Hostel Reviews consists of 150 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 hostel 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: young people? Solo travelers? Couples? Groups?

Hostel&Vibe Opinions

How was the hostel in general? Clean? Dirty? Renovated? Outdated? Smelly? Felt safe?
Was it a party hostel? Too noisy? What about the vibe? Was it welcoming? Is there a common room to hang out?

Critical opinions / Alerts for owners

Bed bugs? Theft? Felt unsafe? Dangerous hostel? Dangerous neighbourhood?
Hostel was not as advertised?
Dirty hostel? Awful/Disgusting Hostel?
Service unpleasant/unprofessional?
Reservation problem? Overbooked?

Room&Bathroom Opinions

Room - Was it spacious? Was it clean? Does it have amenities? Are lockers available? Are dorms overcrowded?
Does it have space for personal belongings? Furniture/chairs/table available?
Bathroom - Was it clean? Got a soap? Any shower problems? Shared bathroom was alright? Overcrowded? Small?

Location Opinions

Opinion In General - Is it a good location?
Close to: City center? Local attractions? Public transportation? Restaurants? Shopping? Airport? Highway? Nature?
Neighborhood - is it a good neighborhood? Is it safe?

Service&Staff Opinions

Staff - Friendly? Professional? Well informed?
Manager - Friendly? Professional? Available?
Check-in - Is it smooth? Fast or slow?
Cleaning Service - Is it good? Cleaned daily?

Accessibility Opinions

Handicap accessible or complaints?
Elevator - Available? Works good or broken?
Bus Shuttle - Is it available? Is it free?
Parking - Is it ok? Big? Small? Is it free?

Addons Opinions

WiFi - Is it free? Is it fast? Works in the room?
Pool - Is it open? Is it clean? Big? Small?
Pool table / footbal table / ping-pong available?
Is laundry available? Pet-friendly/unfriendly?

Price/Payment Opinions

Problem with payments? Only cash payment?
Problem with refund?
Additional fees for lockers, sheets/towels, luggage storage?
Was the price adequate? Cheap or overpriced? Money wasted?

Food Opinions

Breakfast - Rich, plenty options? Small? Tasty?
Included in the price? Not included?
Food price: Was it adequate? Or expensive?

You can start using this API today.

Use this API (RapidAPI link)

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

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Semantic Analysis for Hostel Reviews is publicly available.

Semantic Analysis for Hostel Reviews

How it works on a single review

What is inside Semantic Analysis for Hostel Reviews