{ "info": { "author": "", "author_email": "willem.meints@gmail.com", "bugtrack_url": null, "classifiers": [ "Development Status :: 4 - Beta", "Intended Audience :: Developers", "License :: OSI Approved :: Apache Software License" ], "description": "\n# Azure Cognitive Service Text Analytics client\nThe Text Analytics API is a suite of text analytics web services built with best-in-class Microsoft machine learning algorithms. \nThe API can be used to analyze unstructured text for tasks such as sentiment analysis, key phrase extraction and language detection. \n\nNo training data is needed to use this API; just bring your text data. \nThis API uses advanced natural language processing techniques to deliver best in class predictions. \n\nFurther documentation can be found in https://docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/overview\n\nThis package is a client generated to make usage of the text analytics API easier from any Python application.\nIt is python 2.7 and 3.x compatible.\n\n## Installation\nYou can install this package from pypi using the following command:\n\n``` \npip install text-analytics\n```\n\nAlternatively you can get the bleeding edge version from github by performing the following steps:\n\n * `git clone https://github.com/wmeints/text-analytics`\n * `python setup.py install`\n\n\n## Development\nFor information about development, please refer to the Wiki.\n\n", "description_content_type": "", "docs_url": null, "download_url": "", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://github.com/wmeints/text-analytics", "keywords": "Swagger,Text Analytics API (v2.0),Azure,Cognitive Services", "license": "", "maintainer": "", "maintainer_email": "", "name": "text-analytics", "package_url": "https://pypi.org/project/text-analytics/", "platform": "", "project_url": "https://pypi.org/project/text-analytics/", "project_urls": { "Homepage": "https://github.com/wmeints/text-analytics" }, 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