Audience

Developers in need of an AI solution to provide customers with the tools interact with their apps, bots, and IoT devices

About Azure CLU

Build applications with conversational language understanding, an AI language feature that understands natural language to interpret user goals and extract key information from conversational phrases. Create multilingual, customizable intent classification and entity extraction models for your domain-specific keywords or phrases across 96 languages. Train in one natural language and use them in multiple languages without retraining. Quickly create intents and entities and label your own utterances. Add prebuilt components from a wide variety of commonly available types. Evaluate with built-in quantitative measurements like precision and recall. Use the simple dashboard to manage model deployments in the intuitive and user-friendly language studio. Use seamlessly with other features within Azure AI Language, as well as Azure Bot Service for an end-to-end conversational solution. Conversational language understanding is the next generation of Language Understanding (LUIS).

Pricing

Starting Price:
$2 per month
Free Trial:
Free Trial available.

Integrations

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Company Information

Microsoft
Founded: 1975
United States
azure.microsoft.com/en-us/products/ai-services/conversational-language-understanding/

Videos and Screen Captures

Azure CLU Screenshot 1
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Product Details

Platforms Supported
Cloud
Training
Documentation
Live Online
Webinars
Videos
Support
Phone Support
24/7 Live Support
Online

Azure CLU Frequently Asked Questions

Q: What kinds of users and organization types does Azure CLU work with?
Q: What languages does Azure CLU support in their product?
Q: What kind of support options does Azure CLU offer?
Q: What other applications or services does Azure CLU integrate with?
Q: What type of training does Azure CLU provide?
Q: Does Azure CLU offer a free trial?
Q: How much does Azure CLU cost?

Azure CLU Product Features

Natural Language Processing

Sentence Segmentation
Tokenization
Stemming/Lemmatization
Part-of-Speech Tagging
Parsing
Named Entity Recognition
Co-Reference Resolution
In-Database Text Analytics
Open Source Integrations
Natural Language Generation (NLG)