Azure AI Vision
Azure AI Language
Azure AI Face
Azure AI OCR
Azure AI Document Intelligence
Azure AI Language
Azure AI Language is a set of Natural Language Processing (NLP) services provided by Microsoft Azure, designed to handle various language-based tasks. Whether dealing with text analysis, language understanding, or conversational AI, Azure AI Language can help build intelligent applications using its web-based platform, APIs, and client libraries.
Components of Azure AI Language:
Text Analytics:
Analyzes text to extract key information such as key phrases, entities (people, places, brands, dates), and language detection.
Includes sentiment analysis to determine the tone of the text.
Language Understanding (LUIS):
Provides tools to create custom language models to understand user intents and extract valuable information from text.
Ideal for building bots or applications that require natural language understanding.
Question Answering:
Extracts answers from documents, FAQs, and custom knowledge bases to generate responses to user queries.
Helps in building responsive conversational AI and chatbots.
Named Entity Recognition (NER):
Identifies and categorizes entities within text data like names, organizations, and locations.
Useful for extracting structured information from unstructured text.
PII and PHI Extraction:
Detects and anonymizes Personally Identifiable Information (PII) and Protected Health Information (PHI) within text.
Ensures data privacy and security compliance.
Text Summarization:
Summarizes long documents or conversation transcripts to provide concise and relevant information.
Uses extractive techniques to generate summaries from original text.
Custom Models:
Allows customization of machine learning models for specific use cases to fit unique data and scenarios.
Use Cases:
Customer Support: Enhance bots with natural language processing to quickly and accurately respond to customer inquiries.
Content Moderation: Automatically monitor and filter user-generated content for offensive or harmful language.
Healthcare: Extract and process critical information from medical records and patient reports.
Marketing and Analysis: Analyze customer feedback and sentiment on social media and other platforms.
Getting Started:
You can initiate Azure AI Language via the and use tools such as for building, training, and deploying AI models.
Is there a specific feature of Azure AI Language you'd like to dive deeper into?