Metadata-Version: 1.1
Name: textblob-de
Version: 0.2.0
Summary: German language support for TextBlob.
Home-page: https://github.com/markuskiller/textblob-de
Author: Markus Killer
Author-email: m.killer@langui.ch
License: 

Copyright 2014 Markus Killer

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of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
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furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in
all copies or substantial portions of the Software.

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IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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Description: ===========
        textblob-de
        ===========
        
        .. image:: https://badge.fury.io/py/textblob-de.png
            :target: http://badge.fury.io/py/textblob-de
            :alt: Latest version
        
        .. image:: https://travis-ci.org/markuskiller/textblob-de.png?branch=master
            :target: https://travis-ci.org/markuskiller/textblob-de
            :alt: Travis-CI
        
        .. image:: https://pypip.in/d/textblob-de/badge.png
            :target: https://crate.io/packages/textblob-de/
            :alt: Number of PyPI downloads
        
        
        German language support for `TextBlob <https://textblob.readthedocs.org/>`_.
        
        This python package is being developed as a ``TextBlob`` **Language Extension**.
        See `Extension Guidelines <https://textblob.readthedocs.org/en/dev/contributing.html>`_ for details.
        
        
        Features
        --------
        
        * ``TextBlobDE`` class with initialized default models for German
        * German sentence boundary detection (``NLTKPunktTokenizer``)
        * Consistent use of specified tokenizer for all tools (``NLTKPunktTokenizer`` or ``PatternTokenizer``)
        * Part-of-speech tagging (``PatternTagger``)
        * Parsing (``PatternParser``)
        * Polarity detection (``PatternAnalyzer``) **EXPERIMENTAL!** (only recognises uninflected word forms and does not have information on subjectivity)
        * Supports Python 2 and 3
        * See `working features overview <http://langui.ch/nlp/python/textblob-de/>`_ for details
        
        
        Installing/Upgrading
        --------------------
        ::
        
            $ pip install -U textblob-de
            $ python -m textblob.download_corpora
            
        Or the latest development release::
        
            $ pip install -U git+https://github.com/markuskiller/textblob-de.git@dev
            $ python -m textblob.download_corpora
        
        
        .. note::
        
           ``TextBlob`` will be installed/upgraded automatically when running 
           ``pip install``. The second line (``python -m textblob.download_corpora``) 
           downloads/updates nltk corpora and language models used in ``TextBlob``.
        
        
        Usage
        -----
        .. code-block:: python
        
            >>> from textblob_de import TextBlobDE as TextBlob
            >>> text = '''Heute ist der 3. Mai 2014 und Dr. Meier feiert seinen 
            43. Geburtstag. Ich muss unbedingt daran denken, Mehl, usw. für
            einen Kuchen einzukaufen. Aber leider habe ich nur noch
            EUR 18.50 in meiner Brieftasche.'''
            >>> blob = TextBlob(text)
            >>> blob.sentences
            [Sentence("Heute ist der 3. Mai 2014 und Dr. Meier feiert seinen 43. Geburtstag."),
             Sentence("Ich muss unbedingt daran denken, Mehl, usw. für einen Kuchen einzukaufen."),
             Sentence("Aber leider habe ich nur noch EUR 18.50 in meiner Brieftasche.")]
            >>> blob.tokens
            WordList(['Heute', 'ist', 'der', '3.', 'Mai', ...]
            >>> blob.tags
            [('Heute', 'RB'), ('ist', 'VB'), ('der', 'DT'), ('3.', 'LS'), ('Mai', 'NN'), ('2014', 'CD'), ...]
        
        
        
        .. code-block:: python
        
            >>> blob = TextBlob("Das Auto ist sehr schön.")
            >>> blob.parse()
            'Das/DT/B-NP/O Auto/NN/I-NP/O ist/VB/B-VP/O sehr/RB/B-ADJP/O schön/JJ/I-ADJP/O'
            >>> blob = TextBlob(text, parser_show_lemmata=True)
            'Das/DT/B-NP/O/das Auto/NN/I-NP/O/auto ist/VB/B-VP/O/sein sehr/RB/B-ADJP/O/sehr schön/JJ/I-ADJP/O/schön ././O/O/.'
        
        
        .. code-block:: python
            
            >>> blob = TextBlob("Das Auto ist sehr schön.")
            >>> blob.sentiment
            (1.0, 0.0)
            >>> blob = TextBlob("Das Auto ist hässlich.")     
            >>> blob.sentiment
            (-1.0, 0.0)
        
        
        .. warning::
        
            **WORK IN PROGRESS:** The German polarity lexicon contains only uninflected
            forms and there are no subjectivity scores yet.
        
        .. note::
        
            Make sure that you use unicode strings on Python2 if your input contains
            non-ascii characters (e.g. ``word = u"schön"``).
        
        
        Requirements
        ------------
        
        - Python >= 2.6 or >= 3.3
        
        TODO
        ----
        
        - Implement German noun phrase extractor
        - Additional POS Tagging Options NLTK tagging (``NLTKTagger``)
        - Improve Sentiment analysis (find suitable subjectivity scores and look up lemmas rather than word forms)
        
        License
        -------
        
        MIT licensed. See the bundled ``LICENSE``  file for more details.
        
        
        Changelog
        ---------
        
        0.2.0 (unreleased)¶
        ++++++++++++++++++
        
        * vastly improved tokenization (``NLTKPunktTokenizer`` and ``PatternTokenizer`` with tests)
        * consistent use of specified tokenizer for all tools
        * :py:class:`TextBlobDE` with initialized default models for German
        * Parsing (``PatternParser``) plus ``test_parsers.py``
        * **EXPERIMENTAL!** implementation of Polarity detection (``PatternAnalyzer``)
        * first attempt at extracting German Polarity clues into ``de-sentiment.xml``
        * tox tests passing for py26, py27, py33 and py34
        
        0.1.3 (09/07/2014)
        ++++++++++++++++++
        
        * First release on PyPI
        
        0.1.0 - 0.1.2 (09/07/2014)
        ++++++++++++++++++++++++++
        
        * First release on github
        * A number of experimental releases for testing purposes
        * Adapted version badges, tests & travis-ci config
        * Code adapted from sample extension `textblob-fr <https://github.com/sloria/textblob-fr>`_
        * Language specific linguistic resources copied from `pattern-de <https://github.com/clips/pattern/tree/master/pattern/text/de>`_
        
Keywords: textblob_de
Platform: UNKNOWN
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: German
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.6
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.3
Classifier: Programming Language :: Python :: 3.4
