Unicorn NLP

Language Understanding APIs

Unicorn NLP

Language Understanding APIs

App Reviews 2.0 Demo - Semantic summary of random reviews

Below, you find the automatic semantic summary made from 1000 reviews - after processed by Semantic Analysis for App Reviews API (RapidAPI link) - no additional NLP/NLU/ML or post-processing needed.

You can click on red, yellow, grey and green blocks to see sentences from reviews describing the specific situation: app description, recommendation, general feeling, opinions about usability/price/service, etc.

App description

great graphics 17 challenging app 16 great design 6 stable app 2 not challenging 1 great features 1 poor functions 1

Recommendations

will recommend 23 not recommend 11 good for kids 9 good for learning 3

Opinions about Service

poor 3 good 1 good updates 1

Opinions about Payment & Price

worth the money 19 adequate price 6 not worth the money 6 free app 2 no refund 2

Others

lots of ads 8
no ads, little ads 3

General opinion

love the app 155 addictive app 31 kids love it 29 frustration 9 uninstalling 7 waste of time 6 favorite app 6 used to love 6 disappointed 5 hate the app 5 game easy 4 stupid app 2 satisfied 2

General Feelings

great game 205 great app 187 fun app 93 helpful app 12 entertaining app 10 terrible app 9 boring app 5

Issues from users

app crashes, lags 14 not working 10 problems after updates 7 not loading 7 can't open 2 poor update 1 can't log in 1

Requests from users

please fix, help 29 want a refund 4 new update needed 3 add multiplayer option 1

Opinions about Usability

works well 24 easy to use 17 user-friendly 4 not easy to use 1 not user friendly 1 intuitive app 1

+ Additional models which are customized on your data and to your requirements (contact us to talk more).

Reviews 2.0 - Unlock the power hidden in reviews

You can use Semantic Analysis for App Reviews API hosted on RapidAPI and start implementing your interesting ideas today.

Go to RapidAPI

Or you can send us a test dataset and see if you are happy with customized results.

Test it on your dataset