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Average Ratings 0 Ratings
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.
Description
Transforming data into a functional bot takes just minutes. You can effortlessly create, train, and launch an advanced bot by utilizing resources such as FAQ pages, support sites, product manuals, SharePoint documents, or editorial content, all through a user-friendly interface or REST APIs, and there's no need for any coding skills. Whether you want to deploy your bot within teams or on different platforms, you can do so without writing a single line of code. Moreover, you can infuse your bot with personality by incorporating pre-existing chit-chat datasets. The system allows for the extraction of question-answer pairs from various semi-structured content like FAQ pages, support websites, Excel files, SharePoint documents, product manuals, and policies. It's also straightforward to design intricate multi-turn conversations using the QnA Maker portal or REST APIs. You can enhance your ranking model based on insights drawn from your bot's usage and user feedback, ensuring continual improvement. With the QnA Maker service being a hosted model, you have the flexibility to select product tiers that align with your organization’s size and throughput requirements, all while maintaining security within your Azure compliance framework. This comprehensive approach ensures that anyone, regardless of technical background, can harness the power of automated conversational agents.
API Access
Has API
No
API Access
Has API
No
Integrations
Azure AI Content Safety
No
Azure AI Services
No
Azure CLU
Yes
Azure Marketplace
No
BotCore
Yes
Dydu
Yes
Geomant
Yes
Geomant Wallboard
Yes
Ideta
Yes
LUIS
No
Integrations
Azure AI Content Safety
Yes
Azure AI Services
Yes
Azure CLU
No
Azure Marketplace
Yes
BotCore
No
Dydu
No
Geomant
No
Geomant Wallboard
No
Ideta
No
LUIS
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Microsoft
Founded
1975
Country
United States
Website
www.luis.ai/
Vendor Details
Company Name
Microsoft
Founded
1975
Country
United States
Website
www.qnamaker.ai/
Product Features
Machine Learning
Deep Learning
No
ML Algorithm Library
No
Model Training
No
Natural Language Processing (NLP)
No
Predictive Modeling
No
Statistical / Mathematical Tools
No
Templates
No
Visualization
No
Natural Language Processing
Co-Reference Resolution
No
In-Database Text Analytics
No
Named Entity Recognition
No
Natural Language Generation (NLG)
No
Open Source Integrations
No
Parsing
No
Part-of-Speech Tagging
No
Sentence Segmentation
No
Stemming/Lemmatization
No
Tokenization
No
Product Features
Chatbot
Call to Action
No
Context and Coherence
No
Human Takeover
No
Inline Media / Videos
No
Machine Learning
No
Natural Language Processing
No
Payment Integration
No
Prediction
No
Ready-made Templates
No
Reporting / Analytics
No
Sentiment Analysis
No
Social Media Integration
No
Conversational AI
Code-free Development
No
Contextual Guidance
No
For Developers
No
Intent Recognition
No
Multi-Languages
No
Omni-Channel
No
On-Screen Chats
No
Pre-configured Bot
No
Reusable Components
No
Sentiment Analysis
No
Speech Recognition
No
Speech Synthesis
No
Virtual Assistant
No