Metadata-Version: 2.1
Name: pyConTextNLP
Version: 0.7.0.0
Summary: A Python implementation of the ConText algorithm
Home-page: https://github.com/chapmanbe/pyConTextNLP
Author: Brian Chapman
Author-email: brian.chapman@utah.edu
License: http://www.apache.org/licenses/LICENSE-2.0
Description: pyConTextNLP
        ============
        
        This code has been validated using the included notebooks on Python v 3.7.2. Python 2.x is no longer supported.
        
        pyConTextNLP is a Python implementation/extension/modification of the
        ConText algorithm described in `CITE <>`__ which is itself a
        generalization of the NegEx algorithm described in `CITE <>`__.
        
        The package is maintained by Brian Chapman at the University of Utah.
        Other active and past developers include:
        
        -  Wendy W. Chapman
        -  Glenn Dayton
        -  Danielle Mowery
        
        Introduction
        ------------
        
        pyConTextNLP is a partial implementation of the ConText algorithm using
        Python. The original description of pyConTextNLP was provided in Chapman
        BE, Lee S, Kang HP, Chapman WW, "Document-level classification of CT
        pulmonary angiography reports based on an extension of the ConText
        algorithm." `J Biomed Inform. 2011
        Oct;44(5):728-37 <http://www.sciencedirect.com/science/article/pii/S1532046411000621>`__
        
        Other publications/presentations based on pyConText include: \* Wilson
        RA, et al. "Automated ancillary cancer history classification for
        mesothelioma patients from free-text clinical reports." J Pathol Inform.
        2010 Oct 11;1:24. \* Chapman BE, Lee S, Kang HP, Chapman WW. "Using
        ConText to Identify Candidate Pulmonary Embolism Subjects Based on
        Dictated Radiology Reports." (Presented at AMIA Clinical Research
        Informatics Summit 2011) \* Wilson RA, Chapman WW, DeFries SJ, Becich
        MJ, Chapman BE. "Identifying History of Ancillary Cancers in
        Mesothelioma Patients from Free-Text Clinical Reports." (Presented at
        AMIA 2010).
        
        Note: we changed the package name from pyConText to pyConTextNLP because
        of a name conflict on pypi.
        
        Installation
        ------------
        
        Latest Version
        ~~~~~~~~~~~~~~
        
        The latest version of pyConTextNLP is available on [github](https://github.com/chapmanbe/pyConTextNLP). 
        The package can be installed by either cloning the repository and running `python setup.py install`. 
        Alternatively or by
        .. code:: shell
            pip install git+https://github.com/chapmanbe/pyConTextNLP.git 
        
        PyPi
        ~~~~~
        
        pyConTextNLP is also available via the Python Package Index and can be installed via
        
        .. code:: shell
        
            pip install pyConTextNLP
        
        Dependencies include 
        
        * networkx
        * PyYAML
        
        
        Tutorials
        ---------
        
        See the `notebooks folder <./notebooks>`__ for a series of walkthroughs
        demonstrating pyConTextNLP core concepts with example data.
        
        
        How to Use
        ----------
        
        I am working on improving the documentation and (hopefully) adding some
        testing to the code.
        
        Some preliminary comments:
        
        -  pyConTextNLP works marks up text on a sentence by sentence level.
        -  pyConTextNLP assumes the sentence is a string not a list of words
        - Our preferred way to represent knowledge is now with YAML files rather than TSV files.
        
        
Keywords: ConText NLP
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Programming Language :: Python :: 3
Provides-Extra: dev
Provides-Extra: test
