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        "author": "Crawlica",
        "author_email": "tech@crawlica.com",
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        "description": "Bookworm\n========\n\nThis is a Python client for the Bookworm natural language API, made available by Crawlica.\n\nYou can register to receive an API key at https://bookworm.crawlica.com/request_api_key/\n\n\nExample usage\n-------------\n\n.. code-block:: python\n\n    import tabulate\n    from bookworm import Bookworm\n\n\n    API_KEY = '...'\n\n    documents = ['De tv\u00e5 st\u00f6rsta st\u00e4derna i Sverige \u00e4r Stockholm och G\u00f6teborg',\n                 'Donald Trump blir Barack Obamas eftertr\u00e4dare']\n\n    b = Bookworm(API_KEY, 'sv')\n    res = b.entities(documents)\n\n    for ents in res:\n        data = [[ent['entity'], ent['type'], ', '.join(ent['variants'])] for ent in ents]\n        print(tabulate.tabulate(data, headers=['Entity', 'Type', 'Variants']))\n        print('')\n\n\n\n::\n\n    Entity     Type    Variants\n    ---------  ------  ----------\n    Sverige    geo     Sverige\n    Stockholm  geo     Stockholm\n    G\u00f6teborg   geo     G\u00f6teborg\n\n    Entity        Type    Variants\n    ------------  ------  -------------\n    Donald Trump  person  Donald Trump\n    Barack Obama  person  Barack Obamas\n\n\nInstallation\n------------\n\n.. code-block:: bash\n\n  $ pip install bookworm\n\n\n\nFunctionality currently available\n---------------------------------\n\n* *autotag* - Automatically tag documents with the best matching tags from our large database of tags.\n* *wordsmash* - Compare document sets to get the essence of what makes a subset special. Get the defining words and phrases.\n* *entities* - Extract named entities (people, organisations, and places) from each document\n* *sentiment* - Get a numerical representation of how positive or negative each document is\n* *wordcount* - Get a count of the distinct words in the documents. Declinations are grouped into the base form and stop words can be removed.\n* *cluster* - Automatically collect documents into groups, based on their topics, and describe those groups.\n* *categorize* - Automatically put documents in a set of categories that you choose. The categories are defined by topic words, but the documents need not contain any of those words, just \u201cclose\u201d words.",
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