Metadata-Version: 1.1
Name: find-job-titles
Version: 0.3.0.dev0
Summary: Fast extraction of job titles from strings
Home-page: https://github.com/fluquid/find_job_titles
Author: Johannes Ahlmann
Author-email: johannes@fluquid.com
License: MIT
Description: ===============
        find_job_titles
        ===============
        
        .. image:: https://img.shields.io/pypi/v/find_job_titles.svg
                :target: https://pypi.python.org/pypi/find_job_titles
        
        .. image:: https://img.shields.io/pypi/pyversions/find_job_titles.svg
                :target: https://pypi.python.org/pypi/find_job_titles
        
        .. image:: https://img.shields.io/travis/fluquid/find_job_titles.svg
                :target: https://travis-ci.org/fluquid/find_job_titles
        
        .. image:: https://codecov.io/github/fluquid/find_job_titles/coverage.svg?branch=master
            :alt: Coverage Status
            :target: https://codecov.io/github/fluquid/find_job_titles
        
        Find Job Titles in Strings
        
        * Free software: MIT license
        * Python versions: 2.7, 3.4+
        
        Features
        --------
        
        * Find any of 77k job titles in a given string
        * Text processing is extremely fast using "acora" library
        * Dictionary generation takes about 20 seconds upfront
        
        Quickstart
        ----------
        
        Instantiate "Finder" and start extracting job titles::
        
            >>> from find_job_titles import Finder
            >>> finder.findall('I am the Senior Vice President')
            [('Senior Vice President', 9),
             ('Vice President', 16),
             ('President', 21)]
        
        All possible, overlapping matches are returned.
        Matches contain positional information of where the match was found.
        
        Alternatively use "finditer" for lazy consumption of matches::
        
            >>> finder.finditer('I am the Senior Vice President')]
            <generator object ...>
        
        Credits
        -------
        
        This package was created with Cookiecutter_ and the `fluquid/cookiecutter-pypackage`_ project template.
        
        .. _Cookiecutter: https://github.com/audreyr/cookiecutter
        .. _`fluquid/cookiecutter-pypackage`: https://github.com/fluquid/cookiecutter-pypackage
        
        =======
        History
        =======
        
        
        0.3.0-dev (2017-08-18)
        ----------------------
        
        * updated title list (- surnames, - blacklist, + added_roles)
        
        0.2.0-dev (2017-08-18)
        ----------------------
        
        * proper tracking of code with releases
        
        0.1.0 (unreleased)
        ------------------
        
        * First release on PyPI.
Keywords: extract,job titles
Platform: UNKNOWN
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
