{"categories":[{"label":"Linguistic","url":"https://skillfed.io/packages/category/text-processing-linguistic"}],"enrichment":{"capability":"Provides Python bindings to Azure's cloud-based Natural Language Processing service for sentiment analysis, entity recognition, language detection, key phrase extraction, PII detection, and text summarization.","skillfed_tags":["nlp","cloud-api","azure-sdk"],"use_cases":["Analyze customer feedback or reviews to extract sentiment scores and key topics at scale via cloud API.","Identify and redact personally identifiable information (PII) from documents before storage or sharing.","Extract named entities (people, organizations, locations) from unstructured text for data enrichment.","Detect the language of incoming user-generated content to route it to appropriate downstream processors.","Summarize long documents or support tickets automatically using extractive or abstractive summarization.","Build a multi-language content moderation pipeline by combining language detection with sentiment analysis."],"what_it_does":"This package is the official Python client for Azure's cloud-hosted Natural Language Processing service. It wraps the Azure Cognitive Service for Language API, allowing you to submit text documents for analysis and retrieve structured results\u2014sentiment scores, recognized entities, detected language, extracted key phrases, PII redaction, and text summaries. You authenticate with an API key or Azure Active Directory credential and instantiate a TextAnalyticsClient pointing to your Azure resource endpoint; then you call methods on batches of documents.\n\nThe package is built on azure-core and depends on azure-common, isodate, and typing-extensions. It targets Python 3.8 and later and defaults to API version 2023-04-01, though you can select older versions (3.0, 3.1, 2022-05-01) for backward compatibility. The library is actively maintained, production-stable, and widely used; it carries no known vulnerabilities.","worth_installing":"Yes. This is a production-stable, actively maintained official Microsoft SDK with low install friction, permissive MIT licensing, no known vulnerabilities, and a large user base. Install it if you need to call Azure's NLP service from Python; it is the canonical way to do so. The only prerequisite is an Azure subscription and configured credentials."},"id":"azure-ai-textanalytics","links":{"html":"https://skillfed.io/packages/azure-ai-textanalytics","md":"https://skillfed.io/packages/azure-ai-textanalytics.md","pypi":"https://pypi.org/project/azure-ai-textanalytics/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-03-05","license_spdx":null,"license_treatment":"permissive","name":"azure-ai-textanalytics","python_support":"supports_current","summary":"Microsoft Azure Text Analytics Client Library for Python"},"popularity":{"monthly_downloads":744111,"position":5173,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"5.4.0"}