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        "author": "Author",
        "author_email": "martibook@outlook.com",
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            "License :: OSI Approved :: MIT License",
            "Operating System :: OS Independent",
            "Programming Language :: Python :: 3"
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        "description": "# wordasso\nsmall python package, several word association function based on datamuse API\n\n## Installation\n\n```\npip install wordasso\n```\n\nif it can not install spacy and the model needed automatically, you could fix this by installing it manually\n\n```\npip install spacy\npython -m spacy download en_core_web_sm\n```\nand then\n\n```\npip install wordasso\n```\n\n## Usage\nthese functions are based on datamuse means like API which could be used to query 100 related words of a given word\n\n### syn_words\nreturn related words which has 'synonym' in tags list\n\n```\n>>> from wordasso.wordasso import syn_words\n>>> print(syn_words(\"author\"))\n\n# output\n['writer', 'source', 'generator']\n```\n\n### pho_words\nreturn related words which sound like the key word most, default list size is 10.\n\n```\n>>> from wordasso.wordasso import pho_words\n>>> print(pho_words(\"author\"))\n\n# output\n['writer', 'actor', 'authorship', 'writers', 'drafter', 'reporter', 'owner', 'songwriter', 'signer', 'source']\n\n>>> print(pho_words(\"author\", L=5)\n\n# output\n['writer', 'actor', 'authorship', 'writers', 'drafter']\n```\n\n### ent_words\nreturn Named Entities associated to the related words of the given word.\n\n```\n>>> from wordasso.wordasso import ent_words\n>>> print(ent_words(\"author\"))\n\n# output\n{French, Judeo, Christian, Islam, trustee, Medina, trustee, Judeo, Mecca, Muhammad}\n```\n\n\n\n\n",
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