What is Azure AI Language?
Azure AI Language is an AI service for Natural Language Processing that automatically analyzes and understands text. The service extracts sentiment, entities, key phrases, and relationships from unstructured text in over 100 languages.
Core Features
- Sentiment Analysis: Detects positive, negative, and neutral sentiment in text with confidence scores
- Named Entity Recognition: Identifies people, places, organizations, dates, and other entities
- Key Phrase Extraction: Extracts the most important terms and topics from documents
- Text Classification: Automatically categorizes text using custom or pre-trained models
- Language Detection: Automatically identifies the language of text from over 100 languages
- Text Summarization: Creates automatic summaries of long documents
Typical Use Cases
Customer Feedback Analysis: Companies automatically analyze customer reviews, support tickets, and social media posts. Sentiment analysis identifies dissatisfied customers in real-time for prioritized handling.
Document Processing: Contracts, emails, and reports are automatically classified and searched for relevant information. NER extracts contract parties, dates, and amounts for downstream processing.
Conversational AI: Chatbots and virtual assistants use AI Language for language understanding. The service interprets user intents and extracts parameters from natural language queries.
Benefits
- Pre-built models for immediate use without ML expertise
- Custom models trainable for domain-specific requirements
- REST API and SDKs for all major programming languages
- Integration with Azure AI Foundry for orchestrated AI workflows
Integration with innFactory
As a Microsoft Solutions Partner, innFactory supports you with Azure AI Language: We implement NLP pipelines for document analysis, build intelligent chatbots with language understanding, and integrate text analytics into your existing business processes.
Typical Use Cases
Frequently Asked Questions
What can Azure AI Language do?
Azure AI Language automatically analyzes text for sentiment, key phrases, entities, language, and relationships. The service supports over 100 languages.
How does AI Language differ from Azure OpenAI?
AI Language offers specialized NLP functions like entity recognition and text classification. Azure OpenAI is suited for generative tasks like text generation and summarization.
Can I train custom models?
Yes, Custom Text Classification and Custom Named Entity Recognition allow training domain-specific models with your own training data.
Which languages are supported?
Azure AI Language supports over 100 languages for most features. Language detection automatically identifies the input language.
Is Azure AI Language GDPR compliant?
Yes, when using European Azure regions. Data is not used for training and can be processed entirely within the EU.
