Language Understanding APIs

Blog / News

Semantic Analysis for App Reviews API is publicly available.

22th Februrary 2021, Tom Krupa

Semantic Analysis for App Reviews is publicly available on RapidAPI - Language Understanding API specially designed, trained&tested on App Reviews (74 dedicated Semantic Models).
These models were trained on a general dataset of app reviews. Contact us to train it on your data and create additional customized semantic models.

Profanity & Toxicity for User-generated Content API is publicly available.

20th December 2020, Tom Krupa

Hate Speech Detection for User-generated Content API is publicly available on RapidAPI - Language Understanding API designed to detect hate speech, profanities, toxicities, severe toxicities, obscene texts, insults, threats, and identity hate in user-generated content.

Semantic Analysis for Vacation Rentals / Apartment Reviews API is publicly available.

11th November 2020, Tom Krupa

Semantic Analysis for Apartment Reviews is publicly available on RapidAPI - Language Understanding API specially designed for Apartment, Vacation Rentals, and Home Rentals Reviews (142 dedicated Semantic Models).
Each Semantic model was especially designed, built, tested, and re-tested on hundreds of thousands of apartment, vacation rentals, home rentals, and other accommodation reviews from 10 different sources. All presented Semantic Models work with an unparalleled precision of 90-95%.

Semantic Analysis for Hostel Reviews API is publicly available.

5th October 2020, Tom Krupa

Semantic Analysis for Hostel Reviews is publicly available on RapidAPI - Language Understanding API specially designed for Hostel Reviews (160 dedicated Semantic Models).
Each Semantic model was especially designed, built, tested, and re-tested on hundreds of thousands of hostel and accommodation reviews from 10 different sources. All presented Semantic Models work with an unparalleled precision of 90-95%.

Semantic Analysis for Hotel Reviews API is publicly available.

9th September 2020, Tom Krupa

Semantic Analysis for Hotel Reviews is publicly available on RapidAPI - Language Understanding API specially designed for Hotel Reviews and B&B Reviews (149 dedicated Semantic Models).
Each Semantic model was especially designed, built, tested, and re-tested on hundreds of thousands of hotel reviews (and other accommodation reviews) from 10 different sources. All presented Semantic Models work with an unparalleled precision of 90-95%.

How to make 1-1 traveler personalization (with the use of Semantic Analysis for Travel Reviews)

15 June 2019, Tom Krupa

One of the biggest trends in travel is personalization. In this article, I would propose how to make a personalized search for hotels but this approach can also be applied to tours&guides, a point of interestest, restaurants and more.

People are different. For one person, when traveling “no additional fees” might be a very important issue, others could pay if the quality is maintained. For one, critical might be that the hotel is handicap friendly and the elevator is working properly, for others it is irrelevant. One might care if the hotel is pet-friendly, others might find that frustrating. That is why we cannot provide one search for everyone, we need personalization. We need to adjust search results to different types of users. Not even types, but it should be personalized for every user separately. Below, I will explain how we can use one of the richest sources of information about hotels which are user reviews. More...

Why Sentiment Analysis is not good enough to move towards a new level of understanding

07 May 2019, Tom Krupa

Reviews are the richest source of information. They have a lot of relevant information and they are a validation made by real users about current hotel/business. And yet, for computers, they are still undiscovered. Today’s technology allows only for shallow understanding. It can categorize reviews but to fully understand a review you still need to read it... More