Azure Ai Textanalytics Py
ListedHelps with Azure, AI as part of deploying and managing cloud infrastructure workflows.
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terminal$ npx skills add sickn33/agentic-awesome-skills --skill azure-ai-textanalytics-py -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
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Publisher
sickn33
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Live repository
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Automated safety checks
This skill failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.
Declares what it does: failed
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Pinned to a commit: passed
Scanned sickn33/antigravity-awesome-skills at 5a4cdd9df8.
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About this skill
What it does
This skill provides access to Azure AI Text Analytics using Python. It allows you to analyze text for sentiment, key phrases, language detection, and entity recognition. You can use this to understand customer feedback, extract important information from documents, or categorize content automatically.
When to use it
- Customer Feedback Analysis: Automatically determine the overall sentiment (positive, negative, neutral) of customer reviews or survey responses.
- Document Processing: Extract key entities and phrases from legal contracts or research papers for quick summarization.
- Content Categorization: Classify news articles or social media posts based on their language and topics.
- Language Identification: Determine the primary language of a given text block, useful for multilingual applications.
Key capabilities
- Sentiment Analysis
- Key Phrase Extraction
- Language Detection
- Entity Recognition
Example prompts
- "Analyze the sentiment of this customer review: 'The product was amazing and exceeded my expectations!'"
- "Extract key phrases from this article about climate change."
- "What is the language of this text: 'Bonjour, comment allez-vous?'"
- "Identify the entities in this news report about a company acquisition."
Tips & gotchas
- Requires an Azure subscription and valid API keys to function. Ensure you have these credentials configured correctly before use.