{"categories":[{"label":"Artificial Intelligence","url":"https://skillfed.io/packages/category/scientific-engineering-artificial-intelligence/10"}],"enrichment":{"capability":"Recognizes and resolves entities like numbers, units, and date/time expressions in text across multiple languages, including full support for Chinese, English, French, Spanish, Portuguese, German, Italian, Turkish, Hindi, and Dutch.","skillfed_tags":["entity-extraction","multilingual-nlp","conversational-ai"],"use_cases":["Extract yes/no or true/false answers from user input in chatbots and conversational agents","Normalize boolean choice entities in multilingual text analytics pipelines","Preprocess user responses for LUIS or other language understanding services","Parse choice-based entities in customer support or survey response automation","Build language-agnostic entity extraction for international chatbot applications"],"what_it_does":"recognizers-text-choice is a Python binding for Microsoft's Recognizers-Text library, specializing in extracting and normalizing structured entities from unstructured text. It focuses on choice/boolean entity recognition as part of the broader Recognizers-Text ecosystem, which powers LUIS, Power Virtual Agents, and Microsoft Bot Framework. The package depends on recognizers-text for core recognition infrastructure, regex for pattern matching, and grapheme for proper handling of complex Unicode characters.\n\nThe library is designed for natural language processing pipelines where you need to identify and resolve boolean choices or similar categorical entities in multiple languages. It's particularly useful in conversational AI, chatbot development, and text analytics applications where standardized entity extraction across languages is required. The package remains in alpha status, indicating it may still be evolving, though the underlying Recognizers-Text project is mature and widely deployed in Microsoft services.","worth_installing":"Yes, with conditions. The package has low install friction, permissive licensing, and active maintenance. However, its alpha status and lack of recent releases (latest from November 2019) suggest it may not be actively evolving. Install it if you need multilingual choice entity recognition as part of a Microsoft Recognizers-Text integration; verify that the alpha designation doesn't conflict with your production requirements."},"id":"recognizers-text-choice","links":{"html":"https://skillfed.io/packages/recognizers-text-choice","md":"https://skillfed.io/packages/recognizers-text-choice.md","pypi":"https://pypi.org/project/recognizers-text-choice/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2019-11-12","license_spdx":null,"license_treatment":"permissive","name":"recognizers-text-choice","python_support":"unspecified","summary":"recognizers-text-choice README"},"popularity":{"monthly_downloads":98336,"position":13091,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"1.0.2a2"}