Habilidades Azure AI Text Analytics SDK for Python
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Azure AI Text Analytics SDK for Python

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Analyze Text with Azure AI Text Analytics

This skill enables Claude to work with Azure AI Text Analytics for NLP tasks including sentiment analysis, entity recognition, and PII detection. It provides code examples and best practices for integrating Azure's language processing capabilities.

Soporta: Claude Codex Code(CC)
🥉 73 Bronce
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Pruébalo

Usando "Azure AI Text Analytics SDK for Python". I had a wonderful trip to Seattle last week! The food was terrible and the service was slow.

Resultado esperado:

Document 1: Sentiment: positive (Confidence: 0.89)
Document 2: Sentiment: negative (Confidence: 0.92)

Opinion Mining:
- 'trip' -> positive
- 'food' -> negative
- 'service' -> negative

Usando "Azure AI Text Analytics SDK for Python". Microsoft was founded by Bill Gates and Paul Allen in Albuquerque.

Resultado esperado:

Entities:
- Microsoft (Organization, confidence: 0.95)
- Bill Gates (Person, confidence: 0.98)
- Paul Allen (Person, confidence: 0.97)
- Albuquerque (Location, confidence: 0.91)

Auditoría de seguridad

Seguro
v1 • 2/24/2026

This is a prompt-only documentation skill providing guidance on using the Azure AI Text Analytics Python SDK. No executable code is present. Static analysis scanned 0 files (0 lines) and detected 0 potential security issues. The skill is purely documentation with code examples for an external SDK. No prompt injection attempts detected.

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Líneas analizadas
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hallazgos
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Auditorías totales
No se encontraron problemas de seguridad
Auditado por: claude

Puntuación de calidad

38
Arquitectura
100
Mantenibilidad
87
Contenido
50
Comunidad
100
Seguridad
83
Cumplimiento de la especificación

Lo que puedes crear

Customer Feedback Analysis

Analyze customer reviews and feedback to determine sentiment and extract key topics for business insights.

Document Processing Pipeline

Process large volumes of documents to extract entities, classify content, and detect languages automatically.

Compliance and Data Protection

Scan documents for sensitive information like SSN, emails, and phone numbers to ensure compliance.

Prueba estos prompts

Basic Sentiment Analysis 
Use the Azure AI Text Analytics skill to analyze the sentiment of these customer reviews: [insert reviews]. Show positive, negative, and neutral scores.
Extract Named Entities 
Use the Azure AI Text Analytics skill to recognize entities in this text: [insert text]. List each entity with its category, subcategory, and confidence score.
Detect Sensitive Information 
Use the Azure AI Text Analytics skill to scan this document for PII: [insert document]. Show redacted text and list all PII entities found with their categories.
Healthcare Text Analysis 
Use the Azure AI Text Analytics healthcare NLP feature to analyze this clinical note: [insert note]. Extract medical entities, their categories, and normalized forms.

Mejores prácticas

  • Use batch operations to process up to 10 documents in a single API call for efficiency
  • Handle document-level errors separately from successful results to ensure robust processing
  • Specify the language explicitly when known to improve analysis accuracy and reduce latency

Evitar

  • Do not assume all documents in a batch will succeed - always check for errors in results
  • Do not send sensitive data without proper Azure credential configuration and network security
  • Do not ignore the confidence scores - low scores may indicate ambiguous or low-quality input

Preguntas frecuentes

What credentials do I need to use this skill?
You need an Azure AI Language resource with either an API key or Entra ID credentials. Set AZURE_LANGUAGE_ENDPOINT and AZURE_LANGUAGE_KEY environment variables.
How many documents can I process at once?
Azure Text Analytics supports up to 10 documents per request. For larger batches, split your data into chunks of 10 or fewer.
What is opinion mining?
Opinion mining is aspect-based sentiment analysis that identifies specific targets (like 'food' or 'service') and their associated opinions within text.
Can I use this skill for healthcare data?
Yes, the healthcare NLP feature supports analyzing clinical notes for medical entities, but requires the Healthcare API feature enabled in your Azure subscription.
Is there an async version of the client?
Yes, use azure.ai.textanalytics.aio.TextAnalyticsClient for async operations, which is recommended for high-throughput scenarios.
How does PII detection work?
The recognize_pii_entities method detects categories like SSN, email, phone, and returns both the original text with sensitive data redacted and the detected entities.

Detalles del desarrollador

Autor

sickn33

Licencia

MIT

Repositorio

https://github.com/sickn33/antigravity-awesome-skills/tree/main/skills/azure-ai-textanalytics-py

Ref.

main

Estructura de archivos

📄 SKILL.md