Unicorn NLP

Cognitive APIs for Reviews

Unicorn NLP

Cognitive APIs for Reviews

Travel Reviews 2.0 Demo | Unlock the power hidden in travel reviews

powered by Sentiment Analysis 2.0 for Hotel Reviews

We believe that in 2020 everyone will change the way of looking at the reviews and will use them differently.

Not as one-by-one advice (reviews 1.0) but as the input data to a powerful collective intelligence travel platform (reviews 2.0).

Each unstructured review was processed by Sentiment Analysis 2.0 for Hotel Reviews API (RapidAPI link) and it became the structured type of data (e.g. fitness - great; close to - nature).

These structured data garnered from reviews gives additional and a very powerful new type of data about the hotel (or other object).

Unstructured Reviews (Reviews 1.0)

"Everything was great during our stay. We ordered a queen size room on the second floor. The room that we stayed in was clean and spacious. It has everything in the room that we need, also well equipped kitchen, coffee maker and so on" ...

Structured Reviews (Reviews 2.0)

roomgreat view 59 nice, comfy 38 quiet 15
close tolocal attractions 16 nature 12
breakfastgreat, tasty 33 free 9
hotelgem 43 clean 10 renovated 4
fitnessgreat, well-equipped 13
poolavailable, open 8
New semantic search filters (B2C)
Semantic Summary out of reviews (B2B, B2C)
1-1 Personalization of Travel Search (B2C)
Improve Machine Learning algorithms
Travel Chatbots fueled by reviews (B2C)
Reviews->Tips Conversion (B2B)
New Analytical Dashboards for reviews (B2B)
Detailed comparison of 2 hotels (B2B, B2C)
& more... Contact us to discover what is possible

Unstructured Reviews (Reviews 1.0)

"Everything was great during our stay. We ordered a queen size room on the second floor. The room that we stayed in was clean and spacious. It has everything in the room that we need, also well equipped kitchen, coffee maker and so on" ...




Structured Reviews (Reviews 2.0)

roomgreat view 59 nice, comfy 38 quiet 15
close tolocal attractions 16 nature 12
breakfastgreat, tasty 33 free 9 rich, plenty options 5
hotelgem 43 clean 10 renovated 4

New semantic search filters (B2C)
Semantic Summary out of reviews (B2B, B2C)
1-1 Personalization of Travel Search (B2C)
Improve Machine Learning algorithms
Travel Chatbots fueled by reviews (B2C)
Reviews->Tips Conversion (B2B)
New Analytical Dashboards for reviews (B2B)
Detailed comparison of 2 hotels (B2B, B2C)
& more... Contact us to discover what is possible

Extracted data are basic building blocks and can be easily used to empower almost every travel functionality.

This demo shows only a part of functionalities of what can be done with our technology. For more information, visit: Solutions in Travel

Travel Reviews 2.0 Demo | Unlock the power hidden in travel reviews

(New) Personalized Search & Filtering

Information garnered from reviews can be used to provide new semantic search filters. It provides a very powerful personalized travel search where every search parameter is verified against information contained within all reviews.


What is important to you?

  • Friendly, Professional, Well-informed Staff
  • Big, Well-equipped Fitness
  • Pleasant Vibe, friendly staff
  • Fast WiFi, working in the room
  • Peaceful, calm Atmosphere
  • Free, big, tasty Breakfast
  • Handicap-accessible & working Elevator
  • No hidden fees, No problem with Refunds
  • Nicely decorated place, updated rooms
  • Clean, Well-equipped Bathroom, no shower problems
  • more...
  • Recommended for (based on reviews)
    Solo, With children, Business trip,
    Romantic trip, Anniversary, Wedding, Quiet stay, Pet-friendly
  • Close to (based on reviews)
    Restaurants, Local Attractions,
    Airport, Highway, Public transport.,
    Shopping, City center, Nature
  • more...

Below, we present personalized summarized insights from reviews, e.g. room - great view 179. That means that 179 people described in reviews that rooms in that hotel have a great view.

You can click on specific information and see only sentences about the specific subject (e.g. room - great view), not the whole reviews. It saves a lot of time for the user and allows to provide the personalized travel experience.


This is just a demo with limited functionalities and for 3 hotels only in San Francisco. If you want to test it on your data and/or implement it in your company, contact us.

Reviews 2.0 - Unlock the power hidden in reviews

You can use Sentiment Analysis 2.0 for Hotel Reviews API and start implementing your brilliant ideas today.

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