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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Spiketrap
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Spiketrap is a contextualization company powering audience intelligence and media performance for the games industry, headquartered in San Francisco. Their proprietary Clair AI extracts the signal from the noise of unstructured datasets, providing unparalleled clarity and context, particularly within high velocity online environments. Spiketrap is a provider of brand intelligence, influencer insights, contextual ad targeting, impact measurement, brand safety monitoring, bespoke research, and…
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Pricing
Azure AI Language
Spiketrap
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Pricing Offerings
Azure AI Language
Spiketrap
Free Trial
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Free/Freemium Version
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Premium Consulting/Integration Services
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Entry-level Setup Fee
No setup fee
No setup fee
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Community Pulse
Azure AI Language
Spiketrap
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