SDK and REST developer guide for the Language service
Use this article to find information on integrating the Language service SDKs and REST API into your applications.
Development options
The Language service provides support through a REST API, and client libraries in several languages.
Client libraries (Azure SDK)
The Language service provides three namespaces for using the available features. Depending on which features and programming language you're using, you will need to download one or more of the following packages, and have the following framework/language version support:
| Framework/Language | Minimum supported version |
|---|---|
| .NET | .NET Framework 4.6.1 or newer, or .NET (formerly .NET Core) 2.0 or newer. |
| Java | v8 or later |
| JavaScript | v14 LTS or later |
| Python | v3.7 or later |
Azure.AI.TextAnalytics
Note
If you're using custom named entity recognition or custom text classification, you will need to create a project and train a model before using the SDK. The SDK only provides the ability to analyze text using models you create. See the following quickstarts for information on creating a model.
The Azure.AI.TextAnalytics namespace enables you to use the following Language features. Use the links below for articles to help you send API requests using the SDK.
- Custom named entity recognition
- Custom text classification
- Document summarization
- Entity linking
- Key phrase extraction
- Named entity recognition (NER)
- Personally Identifying Information (PII) detection
- Sentiment analysis and opinion mining
- Text analytics for health
As you use these features in your application, use the following documentation and code samples for additional information.
| Language → Latest GA version | Reference documentation | Samples |
|---|---|---|
| C#/.NET → v5.2.0 | C# documentation | C# samples |
| Java → v5.2.0 | Java documentation | Java Samples |
| JavaScript → v1.0.0 | JavaScript documentation | JavaScript samples |
| Python → v5.2.0 | Python documentation | Python samples |
Azure.AI.Language.Conversations
Note
If you're using conversational language understanding or orchestration workflow, you will need to create a project and train a model before using the SDK. The SDK only provides the ability to analyze text using models you create. See the following quickstarts for more information.
The Azure.AI.Language.Conversations namespace enables you to use the following Language features. Use the links below for articles to help you send API requests using the SDK.
- Conversational language understanding
- Orchestration workflow
- Conversation summarization (Python only)
- Personally Identifying Information (PII) detection for conversations
As you use these features in your application, use the following documentation and code samples for additional information.
| Language → Latest GA version | Reference documentation | Samples |
|---|---|---|
| C#/.NET → v1.0.0 | C# documentation | C# samples |
| Python → v1.0.0 | Python documentation | Python samples |
Azure.AI.Language.QuestionAnswering
The Azure.AI.Language.QuestionAnswering namespace enables you to use the following Language features:
- Question answering
- Authoring - Automate common tasks like adding new question answer pairs and working with projects/knowledge bases.
- Prediction - Answer questions based on passages of text.
As you use these features in your application, use the following documentation and code samples for additional information.
| Language → Latest GA version | Reference documentation | Samples |
|---|---|---|
| C#/.NET → v1.0.0 | C# documentation | C# samples |
| Python → v1.0.0 | Python documentation | Python samples |