Azure AI Language documentation

Extract information

Use Natural Language Understanding (NLU) to extract information from unstructured text. For example, identify key phrases or Personally Identifiable Information (PII), summarize text, recognize and categorize named entities, or customize an entity extraction model on top of your domain set.

• Extract key phrases
• Find linked entities
• Named Entity Recognition (NER)
• Personally Identifiable Information (PII) detection
• Text analytics for health

Summarize text-based content

Summarize lengthy documents and conversation transcripts.

• Document summarization
• Conversation summarization

Classify Text

Use Natural Language Understanding (NLU) to detect the language or classify the sentiment of text you have. You can also classify your text documents by customizing a classification model over your dataset.

• Analyze sentiment and mine text for opinions
• Detect Language

Answer questions

Provide answers to questions being asked in unstructured texts using our prebuilt capabilities, or customize your domain specific question-and-answer pairs over data you provide.

• Question answering

Understand conversations

Create your own models to classify conversational utterances and extract detailed information from them to fulfill scenarios.

• Conversational language understanding
• Orchestration workflow

Translate text

Use cloud-based neural machine translation to build intelligent, multi-language solutions for your applications.

• Use machine translation on text.

Resources

• Pricing

Support

• Support and help