Azure AI Language (formerly Azure Cognitive Service for Language) is a managed service to add natural language capabilities, from sentiment analysis and entity extraction to automated question answering. Users can identify key terms and phrases, understand sentiments, and build conversational interfaces into applications. Annotate, train, evaluate, and deploy customizable models without machine-learning expertise.
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Player XP
Score 0.0 out of 10
Small Businesses (1-50 employees)
PlayerXP is a community intelligence platform that uses machine learning and natural processing techniques to create a tool specifically tailored to the games industry. Player XP gathers players' feedback from message boards, user reviews & social data and presents it in of this in an interactive dashboard. The Player XP dashboard can be customised, and data can be seen in any preferred way, so that it is easier for users to understand what players are saying about the game, and so data can…
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Pricing
Azure AI Language
Player XP
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Azure AI Language
Player XP
Free Trial
No
Yes
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
Optional
Additional Details
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Pricing is based on the amount of reviews required for any specific app. As well as the amount of features you require. Categorisation, translations, territories. etc..
More Pricing Information
Community Pulse
Azure AI Language
Player XP
Considered Both Products
Azure AI Language
Verified User
Anonymous
Chose Azure AI Language
We haven't used other products. Our experience with Azure, whilst not meeting our needs this time around, was positive, educational and insightful. This was the first time that we had considered using an AI tool to manage and manipulate our data and we were unsure of the …
We thought that the language recognition and recording would be ideal for our needs. We did a lot of set up and testing but eventually decided to take another route as we were up against tight deadlines and limited skilled resource for the task. Had we had more time and the project was longer we would have pursued with using the product as it would definitely have been a useful. The experience gained was useful and we will keep the product in mind for the future.
The data is pre configured that means the AI models that are used by features are not customizable. One needs to send data and have to use the output of the feature in our application
Availability of customizations in order to adjust some specific requirements
Availability of Language studio so that one can avoid coding