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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WordStat
Score 9.1 out of 10
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Provalis Research is a developer of text analytics solutions such as WordStat, a powerful software for computer-assisted content analysis and text mining, and QDA Miner, an innovative mixed-methods qualitative data analysis software.
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Pricing
Azure AI Language
WordStat
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Azure AI Language
WordStat
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
WordStat
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.
This tool is great if you want to quickly and easily extract themes and trends from large amounts of information. I also like that I can process 25 million words per minute. This is a great tool for content marketers, researchers, and anyone else who needs to analyze large amounts of text.
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