{ "info": { "author": "Randall Shane, PhD ", "author_email": "Randall.Shane@CodeIntelligence.IO", "bugtrack_url": null, "classifiers": [ "Development Status :: 5 - Production/Stable", "Intended Audience :: Developers", "License :: OSI Approved :: MIT License", "Operating System :: OS Independent", "Programming Language :: Python :: 3.5", "Programming Language :: Python :: 3.6", "Programming Language :: Python :: 3.7", "Topic :: Scientific/Engineering :: Information Analysis", "Topic :: Text Processing :: Indexing", "Topic :: Text Processing :: Linguistic" ], "description": "fkscore\n====\n\nFlesch Kincaid readability score for text\n\nA Python module implementation of the Flesch Kincaid readability score algorithm.\n\nThe source code is released under the MIT License.\n\n### Installation ###\n pip3 install fkscore\n\n### Usage ###\nFor text in python represented as a string.\n\nTakes text as string datatype. Words can be on same or different lines. Current version is English language only. Email for support.\n\n import fkscore\n text = '...blah blah blah...'\n f = fkscore.fkscore(text)\n print(f.stats)\n print(f.score)\n\n OR\n\n from fkscore import fkscore\n text = '...blah blah blah...'\n f = fkscore(text)\n print(f.stats)\n print(f.score)\n\n### Output ###\nOutput includes 2 dictionaries of information as follows:\n* stats:\n * stats['num_words']\n * stats['num_syllables']\n * stats['num_sentences']\n* score:\n * score['readability'] # Calculated F-K Readability Score\n * score['grade'] # Permuted F-K Grade Reading Level\n\n### Releases ###\nReleases and additions will push to PyPi periodically, but if there is a feature in master not built/pushed and you want it to be, just ping me.\n\n### History ###\nThis is a maintained as an implementation of the Flesch-Kincaid readability algorithm which was initially developed in 1948 by Rudolph Flesch and later revised by the U.S. Navy in 1975. This module is pure python and works with 3.5+.\n\n### Questions ###\nFeel free to ping for questions, comments, concerns or interact directly via the GitHub repository.\n\nRandall Shane, PhD
\nRandall.Shane@CodeIntelligence.IO
\nhttps://github.com/RandallShanePhD/fkscore
\nThank you!\n\n\n", "description_content_type": "text/markdown", "docs_url": null, "download_url": "", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://github.com/RandallShanePhD/fkscore", "keywords": "nlp,linguistics,nltk,text processing", "license": "MIT", "maintainer": "", "maintainer_email": "", "name": "fkscore", "package_url": "https://pypi.org/project/fkscore/", "platform": "", "project_url": "https://pypi.org/project/fkscore/", "project_urls": { "Homepage": "https://github.com/RandallShanePhD/fkscore" }, "release_url": "https://pypi.org/project/fkscore/1.1.6/", "requires_dist": null, "requires_python": ">=3.5", "summary": "Flesch Kincaid readability scoring algorithm", "version": "1.1.6" }, "last_serial": 5141284, "releases": { "1.1.1": [ { "comment_text": "", "digests": { "md5": "854be09da72e8a37d41e1bd535f3bc3c", "sha256": "dab4e46f2da2ca2e5c0e2881c90d589d9ef68a3d13b0b0d9d18ad0d35f6c9035" }, "downloads": -1, "filename": 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