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Average Ratings 0 Ratings
Description
Azure AI Language serves as a comprehensive managed service designed for the creation of natural language processing applications. It enables users to pinpoint important terms and phrases, evaluate sentiment, condense text, and construct interactive conversational interfaces. This service allows you to annotate, develop, assess, and deploy tailored AI models without needing extensive machine-learning knowledge. With ready-to-use entity categories applicable to various industries and text analytics tailored for the healthcare sector, its out-of-the-box functionalities promote rapid initiation while still permitting further customization and enhancement as necessary. To fine-tune your machine learning model for specific scenarios, you can provide several labeled examples. Additionally, custom multilingual models can be trained in a single language and effectively applied across several others. Through Language Studio, you can leverage advanced GPT-powered language models to promptly review and recommend labels for your content. Moreover, it facilitates the extraction, labeling, and redaction of critical information in text across diverse categories, making it a versatile tool for various applications. This combination of features ensures that users can efficiently manage their language processing needs regardless of their technical expertise.
Description
Language Understanding (LUIS) is an advanced machine learning service designed to incorporate natural language capabilities into applications, bots, and IoT devices. It allows for the rapid creation of tailored models that enhance over time, enabling the integration of natural language features into your applications. LUIS excels at discerning important information within dialogues by recognizing user intentions (intents) and extracting significant details from phrases (entities), all contributing to a sophisticated language understanding model. It works harmoniously with the Azure Bot Service, simplifying the process of developing a highly functional bot. With robust developer resources and customizable pre-existing applications alongside entity dictionaries such as Calendar, Music, and Devices, users can swiftly construct and implement solutions. These dictionaries are enriched by extensive web knowledge, offering billions of entries that aid in accurately identifying key insights from user interactions. Continuous improvement is achieved through active learning, which ensures that the quality of models keeps getting better over time, making LUIS an invaluable tool for modern application development. Ultimately, this service empowers developers to create rich, responsive experiences that enhance user engagement.
API Access
Has API
API Access
Has API
Integrations
Azure CLU
BotCore
Crestwood Cloud
Dydu
Geomant
Geomant Wallboard
Ideta
Microsoft Azure
Microsoft Entra ID
Neo Enterprise Assistant Platform
Integrations
Azure CLU
BotCore
Crestwood Cloud
Dydu
Geomant
Geomant Wallboard
Ideta
Microsoft Azure
Microsoft Entra ID
Neo Enterprise Assistant Platform
Pricing Details
$2 per month
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Microsoft
Founded
1975
Country
United States
Website
azure.microsoft.com/en-us/products/ai-services/ai-language/
Vendor Details
Company Name
Microsoft
Founded
1975
Country
United States
Website
www.luis.ai/
Product Features
Natural Language Processing
Co-Reference Resolution
In-Database Text Analytics
Named Entity Recognition
Natural Language Generation (NLG)
Open Source Integrations
Parsing
Part-of-Speech Tagging
Sentence Segmentation
Stemming/Lemmatization
Tokenization
Product Features
Machine Learning
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization
Natural Language Processing
Co-Reference Resolution
In-Database Text Analytics
Named Entity Recognition
Natural Language Generation (NLG)
Open Source Integrations
Parsing
Part-of-Speech Tagging
Sentence Segmentation
Stemming/Lemmatization
Tokenization