{
    "info": {
        "author": "Bobby Larson",
        "author_email": "blarson@alchemyapi.com",
        "bugtrack_url": null,
        "classifiers": [],
        "description": "==================================\nAlchemyAPI Python SDK: version 1.0\n==================================\n\nThis is a Python implementation of the AlchemyAPI SDK.\n\n\nINSTALLATION\n\nTo install this module, copy the alchemyapi.py file into your desired\nPython import directory.  Three AlchemyAPI Python modules are supplied: \n1. Version for Python 2.4.x (requires lxml)\n2. Version for Python 2.5.x+ (supports all later 2.x versions, including 2.7.x)\n3. Version for Python 3.x.x\n\n\nRUNNING EXAMPLES\n\nSeveral code examples are included to illustrate using the AlchemyAPI\nfor named entity extraction, text classification, language identification,\nand other tasks.\n\nAll code samples are within the \"example\" directory.\n\nTo run these code samples you must first edit the (example/api_key.txt) file, \nadding your assigned Orchestr8 API key.\n\nCode Samples:\n\n   1. Entity Extraction: python entities.py\n\n   2. Concept Tagging: python concepts.py\n\n   3. Keyword Extraction: python keywords.py\n\n   4. Text Categorization: python categories.py\n\n   5. Language Identification: python language.py\n\n   6. HTML Text Extraction: python text_extract.py\n\n   7. HTML Structured Content Scraping: python constraint_queries.py\n\n   8. Microformats Extraction: python microformats.py\n\n   9. RSS / ATOM Feed Links Extraction: python feed_links.py\n\n  10. Sentiment analysis example: python sentiment.py\n  \n  11. Relations extraction example: python relations.py\n\n  12. Parameters Object example: python params_object.py\n\n  13. Author extraction example: python author.py\n\n  14. Targeted sentiment example: python targeted_sentiment.py\n  \n\nDEPENDENCIES\n\nPython 2.4.x requires lxml:\n\n   lxml (available at: http://pypi.python.org/pypi/lxml )\n\n\nCOPYRIGHT AND LICENCE\n\nCopyright (C) 2009-2013 Orchestr8, LLC.\n\nThis library is free software; you can redistribute it and/or modify\nit under the same terms as Python itself, either Python version 2.5 or,\nat your option, any later version of Python 2.5 you may have available.",
        "description_content_type": null,
        "docs_url": null,
        "download_url": "UNKNOWN",
        "downloads": {
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            "last_month": -1,
            "last_week": -1
        },
        "home_page": "http://www.alchemyapi.com/",
        "keywords": "alchemyapi api semantic nlp",
        "license": "BSD",
        "maintainer": null,
        "maintainer_email": null,
        "name": "AlchemyAPI",
        "package_url": "https://pypi.org/project/AlchemyAPI/",
        "platform": "UNKNOWN",
        "project_url": "https://pypi.org/project/AlchemyAPI/",
        "project_urls": {
            "Download": "UNKNOWN",
            "Homepage": "http://www.alchemyapi.com/"
        },
        "release_url": "https://pypi.org/project/AlchemyAPI/1.0/",
        "requires_dist": null,
        "requires_python": null,
        "summary": "Python access to AlchemyAPI for unstructured text analysis and natural language processing.",
        "version": "1.0"
    },
    "last_serial": 580543,
    "releases": {
        "1.0": []
    },
    "urls": []
}