Technical & DevelopmentIntermediate

azure-ai-textanalytics-py

NLP: sentiment, entities, key phrases

Developer Setup

Setup & Installation

bash

npx skills add https://github.com/microsoft/skills --skill azure-ai-textanalytics-py

npx skills add https://github.com/microsoft/skills --skill azure-ai-textanalytics-py

Or paste this URL into your assistant to install:

https://github.com/microsoft/skills/tree/main/.github/plugins/azure-sdk-python/skills/azure-ai-textanalytics-py View on GitHub

Overview

What This Skill Does

Azure AI Text Analytics SDK for Python wraps the Azure AI Language service REST API. It covers sentiment analysis, named entity recognition, PII detection and redaction, key phrase extraction, language detection, and healthcare NLP.

Application

When to use this Skill

Configuring integration settings for custom agent workflows.
Optimizing query execution and response latency in production.
Developing clean, standard-compliant implementations for enterprise services.
Troubleshooting connection timeouts and authentication handshakes.
Monitoring API rate limits and execution pipelines programmatically.

Documentation

Show Skills.md file

Azure AI Text Analytics SDK for Python

Client library for Azure AI Language service NLP capabilities including sentiment, entities, key phrases, and more.

Installation

pip install azure-ai-textanalytics

Environment Variables

AZURE_LANGUAGE_ENDPOINT=https://<resource>.cognitiveservices.azure.com  # Required for all auth methods
AZURE_TOKEN_CREDENTIALS=prod # Required only if DefaultAzureCredential is used in production
AZURE_LANGUAGE_KEY=<your-api-key>  # Only required for the legacy API-key auth path below

Authentication & Lifecycle

🔑 Two rules apply to every code sample below:

Prefer DefaultAzureCredential. It works locally (Azure CLI / VS Code / Developer CLI) and in Azure (managed identity, workload identity) with no code change. Avoid connection strings, account/API keys — they bypass Entra audit and rotation.

Local dev: DefaultAzureCredential works as-is.

Production: set AZURE_TOKEN_CREDENTIALS=prod (or AZURE_TOKEN_CREDENTIALS=<specific_credential>) to constrain the credential chain to production-safe credentials.

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