azure-ai-textanalytics-py
Azure AI Text Analytics SDK for sentiment analysis, entity recognition, key phrases, language detection, PII, and healthcare NLP. Use for natural language processing on text.
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
AZURE_LANGUAGE_KEY=<your-api-key> # If using API key
Authentication
API Key
import os
from azure.core.credentials import AzureKeyCredential
from azure.ai.textanalytics import TextAnalyticsClient
endpoint = os.environ["AZURE_LANGUAGE_ENDPOINT"]
key = os.environ["AZURE_LANGUAGE_KEY"]
client = TextAnalyticsClient(endpoint, AzureKeyCredential(key))
Entra ID (Recommended)
from azure.ai.textanalytics import TextAnalyticsClient
from azure.identity import DefaultAzureCredential
client = TextAnalyticsClient(
endpoint=os.environ["AZURE_LANGUAGE_ENDPOINT"],
credential=DefaultAzureCredential()
)
Sentiment Analysis
documents = [
"I had a wonderful trip to Seattle last week!",
"The food was terrible and the service was slow."
]
result = client.analyze_sentiment(documents, show_opinion_mining=True)
for doc in result:
if not doc.is_error:
print(f"Sentiment: {doc.sentiment}")
print(f"Scores: pos={doc.confidence_scores.positive:.2f}, "
f"neg={doc.confidenSubscribers only
The full skill, its 1 bundled files and every download is included with every paid Complete AI plan.
Details
| Source | community |
|---|---|
| License | — |
| Risk label | critical ("critical" means the skill may run commands or touch files — read before use) |
| Files | SKILL.md |
| Added | 2026-02-27 |
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