How do I authenticate the Azure Text Analytics client?

You can authenticate using an API key via AzureKeyCredential or use the recommended Entra ID method with DefaultAzureCredential for improved security.

What is opinion mining in the context of sentiment analysis?

Opinion mining, or aspect-based sentiment analysis, provides detailed insights into specific targets within a sentence, such as 'the food was great but the service was slow'.

Does this skill support asynchronous Python?

Yes, it includes patterns for the azure.ai.textanalytics.aio namespace, enabling the use of async/await for high-concurrency applications.

Can I process multiple documents simultaneously?

Yes, the SDK supports batching up to 10 documents per request, and the begin_analyze_actions method allows you to run multiple types of analysis in a single operation.

Azure AI Text Analytics (Python)

Name: Azure AI Text Analytics (Python)
Author: microsoft

bymicrosoft

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1,777

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Data Science & ML

Integrates Azure's advanced natural language processing capabilities into Python applications for sentiment, entity, and PII analysis.

This skill provides comprehensive guidance and implementation patterns for the Azure AI Text Analytics SDK in Python, enabling developers to harness sophisticated NLP features. It covers critical operations including sentiment analysis with opinion mining, named entity recognition, PII redaction for privacy compliance, and specialized healthcare NLP. Whether you are building customer feedback loops or processing medical records, this skill ensures best practices for authentication via Entra ID, batch processing for efficiency, and asynchronous execution for high-throughput scenarios.

Key Features

01High-performance batch processing and asynchronous client support

02Named entity recognition (NER) with subcategory and confidence scoring

03Automated PII detection and redaction for secure data processing

04Advanced sentiment analysis with granular aspect-based opinion mining

05Specialized Healthcare NLP for medical entity extraction and coding

061,777 GitHub stars

Use Cases

01Analyzing customer support tickets to prioritize urgent or negative sentiment cases

02Extracting clinical insights and entity relationships from healthcare documentation

03Automating the redaction of sensitive PII from internal databases and logs

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add microsoft/skills azure-ai-textanalytics-py

For use in Claude.ai and ChatGPT

Download Skill