Metadata-Version: 2.1
Name: PatternLite
Version: 3.6
Summary: Stripped down, forked version of Pattern package (Web mining module for Python.)
Home-page: https://github.com/WZBSocialScienceCenter/patternlite
Author: Markus Konrad
Author-email: markus.konrad@wzb.eu
License: BSD
Description: PatternLite
        ===========
        
        [![PyPi version](http://img.shields.io/pypi/v/PatternLite.svg?style=flat)](https://pypi.org/project/PatternLite/)
        [![License](https://img.shields.io/badge/License-BSD%203--Clause-green.svg?style=flat)](https://github.com/WZBSocialScienceCenter/PatternLite/blob/master/LICENSE.txt)
        
        
        **This is a fork of the original [Pattern package](https://github.com/clips/pattern). It is a stripped down version of the original package and contains only the `text` modules (i.e. `pattern.de`, `pattern.en`, `pattern.es`, `pattern.fr`, `pattern.it`, `pattern.nl`, `pattern.ru`, the `vector` module and parts of the `db` module.**
        
        Apart from that, it fixes a few problems with the original package: 
        
         * much fewer dependencies: now only requires *numpy, scipy* and *nltk*
         * compatible with Python 3.6, 3.7, 3.8
         * properly closes files (no more *"ResourceWarning: unclosed file"*)
        
        The remaining original features are:
        
         * Natural Language Processing: part-of-speech taggers, n-gram search, sentiment analysis, WordNet
         * Machine Learning: vector space model, clustering, classification (KNN, SVM, Perceptron)
        
        For the original documentation, see <http://www.clips.ua.ac.be/pages/pattern>.
        
        Installation
        ------------
        
        PatternLite supports Python 3.6, 3.7 and 3.8.
        
        If you have pip, you can automatically download and install from the [PyPI repository](https://pypi.org/project/PatternLite/):
        
        ```bash
        pip install PatternLite
        ```
        
        To install PatternLite from source, unzip the download and from the command line do:
        
        ```bash
        python setup.py install
        ```
        
        
        Documentation
        -------------
        
        For documentation and examples see the [user documentation](http://www.clips.ua.ac.be/pages/pattern). If you are a developer, go check out the [developer documentation](http://www.clips.ua.ac.be/pages/pattern-dev).
        
        Version
        -------
        
        3.7
        
        License
        -------
        
        **BSD**, see `LICENSE.txt` for further details.
        
        Reference
        ---------
        
        De Smedt, T., Daelemans, W. (2012). Pattern for Python. *Journal of Machine Learning Research, 13*, 2031–2035.
        
        Contribute
        ----------
        
        The source code is hosted on GitHub and contributions or donations are welcomed. Please have look at the [developer documentation](http://www.clips.ua.ac.be/pages/pattern-dev). If you use Pattern in your work, please cite our reference paper.
        
        Bundled dependencies
        --------------------
        
        Pattern is bundled with the following data sets, algorithms and Python packages:
        
        - **Brill tagger**, Eric Brill
        - **Brill tagger for Dutch**, Jeroen Geertzen
        - **Brill tagger for German**, Gerold Schneider & Martin Volk
        - **Brill tagger for Spanish**, trained on Wikicorpus (Samuel Reese & Gemma Boleda et al.)
        - **Brill tagger for French**, trained on Lefff (Benoît Sagot & Lionel Clément et al.)
        - **Brill tagger for Italian**, mined from Wiktionary
        - **English pluralization**, Damian Conway
        - **Spanish verb inflection**, Fred Jehle
        - **French verb inflection**, Bob Salita
        - **LIBSVM**, Chih-Chung Chang & Chih-Jen Lin
        - **LIBLINEAR**, Rong-En Fan et al.
        - **spelling corrector**, Peter Norvig
        
        Acknowledgements
        ----------------
        
        **Authors:**
        
        - Tom De Smedt (tom@organisms.be)
        - Walter Daelemans (walter.daelemans@ua.ac.be)
        
        **Contributors (chronological):**
        
        - Frederik De Bleser
        - Jason Wiener
        - Daniel Friesen
        - Jeroen Geertzen
        - Thomas Crombez
        - Ken Williams
        - Peteris Erins
        - Rajesh Nair
        - F. De Smedt
        - Radim Řehůřek
        - Tom Loredo
        - John DeBovis
        - Thomas Sileo
        - Gerold Schneider
        - Martin Volk
        - Samuel Joseph
        - Shubhanshu Mishra
        - Robert Elwell
        - Fred Jehle
        - Antoine Mazières + fabelier.org
        - Rémi de Zoeten + closealert.nl
        - Kenneth Koch
        - Jens Grivolla
        - Fabio Marfia
        - Steven Loria
        - Colin Molter + tevizz.com
        - Peter Bull
        - Maurizio Sambati
        - Dan Fu
        - Salvatore Di Dio
        - Vincent Van Asch
        - Frederik Elwert
        
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Environment :: Web Environment
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: BSD License
Classifier: Natural Language :: Dutch
Classifier: Natural Language :: English
Classifier: Natural Language :: French
Classifier: Natural Language :: German
Classifier: Natural Language :: Italian
Classifier: Natural Language :: Spanish
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: JavaScript
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Scientific/Engineering :: Visualization
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Topic :: Text Processing :: Linguistic
Requires-Python: >=3.6
Description-Content-Type: text/markdown
