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    "info": {
        "author": "Manan Shah",
        "author_email": "manan.shah.777@gmail.com",
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        "description": "Description\r\n===========\r\n\r\nA package that uses linguistic analysis in order to determine the author of a document. Currently version 0.0.1.\r\n\r\nInstallation\r\n------------\r\n\r\n1. Install the package from the PyPi homepage (run `setup.py install`) \r\n2. Import the package in your project (`from authorid import authorid`)\r\n3. You're good to go! You can now run individual functions (i.e. `authorid.run()`) by calling the package name. \r\n\r\nUsage\r\n-----\r\n\r\n`authorid` is a package meant to help analyze linguistic features of files and determine their potential author, provided a list of attributes. \r\nIn order to invoke the primary utility, simply run `authorid.run()` and you will be prompted for a file containing the mystery text. After analysis\r\nis complete, the program will print a signature for that file, and prompt for a directory where `.stats` files are stored. \r\n\r\nIf this is the first time you are running `authorid`, exit out of the main program now, and copy the signature list to another file, ending with the \r\nsignature `.stats`. A sample .stats file may look like the following::\r\n\r\n\r\n    first last\r\n    4.41553119311\r\n    0.0563451817574\r\n    0.02229943808\r\n    16.8869087498\r\n    2.54817097682\r\n\r\n\r\nRemember to order the information correctly in order to ensure optimal results. Complete this step for various files, and when you have a directory containing\r\nyour made `.stats` files (this process will be automated in `0.0.2`), run `authorid.run()` once more, this time with a mystery file and providing the directory with\r\nyour STATS files. The program will compare signatures with those in the list and provide a \"best match\" author.\r\n\r\nOther utility functions are also available, which are listed below (also open sourced on GitHub)::\r\n\r\n    def clean_up(s)\r\n    def average_word_length(text)\r\n    def type_token_ratio(text)\r\n    def hapax_legomana_ratio(text)\r\n    def split_on_separators(original, separators)\r\n    def average_sentence_length(text)\r\n    def avg_sentence_complexity(text)\r\n    def get_valid_filename(prompt)\r\n    def read_directory_name(prompt)\r\n    def compare_signatures(sig1, sig2, weight)\r\n    def read_signature(filename)\r\n    def run()\r\n\r\nNote that `text` is a list of strings.",
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        "keywords": "linguistics author finding",
        "license": "MIT",
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        "summary": "A utility to determine the author of a document using linguistic analysis",
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