{
"info": {
"author": "Markus Killer",
"author_email": "m.killer@langui.ch",
"bugtrack_url": null,
"classifiers": [
"Development Status :: 3 - Alpha",
"Intended Audience :: Developers",
"Intended Audience :: Education",
"Intended Audience :: Information Technology",
"Intended Audience :: Science/Research",
"License :: OSI Approved :: MIT License",
"Natural Language :: German",
"Operating System :: OS Independent",
"Programming Language :: Python",
"Programming Language :: Python :: 2",
"Programming Language :: Python :: 2.6",
"Programming Language :: Python :: 2.7",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.3",
"Programming Language :: Python :: 3.4",
"Programming Language :: Python :: 3.5",
"Programming Language :: Python :: 3.6",
"Programming Language :: Python :: 3.7",
"Programming Language :: Python :: Implementation :: CPython",
"Programming Language :: Python :: Implementation :: PyPy",
"Topic :: Scientific/Engineering",
"Topic :: Scientific/Engineering :: Information Analysis",
"Topic :: Text Processing",
"Topic :: Text Processing :: Linguistic"
],
"description": "\n==================\ntextblob-de README\n==================\n\n\n.. image:: https://img.shields.io/pypi/v/textblob-de.svg\n :target: https://pypi.python.org/pypi/textblob-de/\n :alt: textblob_de - latest PyPI version\n\n.. image:: https://travis-ci.org/markuskiller/textblob-de.png?branch=dev\n :target: https://travis-ci.org/markuskiller/textblob-de\n :alt: Travis-CI\n\n.. image:: https://readthedocs.org/projects/textblob-de/badge/?version=latest\n :target: http://textblob-de.readthedocs.org/en/latest/\n :alt: Documentation Status\n\n.. image:: https://img.shields.io/pypi/dm/textblob-de.svg\n :target: https://pypi.python.org/pypi/textblob-de/\n :alt: Number of PyPI downloads\n\n.. image:: https://img.shields.io/github/license/markuskiller/textblob-de.svg\n :target: http://choosealicense.com/licenses/mit/\n :alt: LICENSE info\n\nGerman language support for `TextBlob `_ by Steven Loria.\n\nThis python package is being developed as a ``TextBlob`` **Language Extension**.\nSee `Extension Guidelines `_ for details.\n\n\nFeatures\n--------\n\n* **NEW:** Works with Python3.7\n* All directly accessible ``textblob_de`` classes (e.g. ``Sentence()`` or ``Word()``) are initialized with default models for German\n* Properties or methods that do not yet work for German raise a ``NotImplementedError``\n* German sentence boundary detection and tokenization (``NLTKPunktTokenizer``)\n* Consistent use of specified tokenizer for all tools (``NLTKPunktTokenizer`` or ``PatternTokenizer``)\n* Part-of-speech tagging (``PatternTagger``) with keyword ``include_punc=True`` (defaults to ``False``)\n* Tagset conversion in ``PatternTagger`` with keyword ``tagset='penn'|'universal'|'stts'`` (defaults to ``penn``)\n* Parsing (``PatternParser``) with all ``pattern`` keywords, plus ``pprint=True`` (defaults to ``False``)\n* Noun Phrase Extraction (``PatternParserNPExtractor``)\n* Lemmatization (``PatternParserLemmatizer``)\n* Polarity detection (``PatternAnalyzer``) - Still **EXPERIMENTAL**, does not yet have information on subjectivity\n* Full ``pattern.text.de`` API support on Python3\n* Supports Python 2 and 3\n* See `working features overview `_ for details\n\n\nInstalling/Upgrading\n--------------------\n::\n\n $ pip install -U textblob-de\n $ python -m textblob.download_corpora\n\n\nOr the latest development release (apparently this does not always work on Windows see \n`issues #1744/5 `_ for details)::\n\n $ pip install -U git+https://github.com/markuskiller/textblob-de.git@dev\n $ python -m textblob.download_corpora\n\n\n.. note::\n\n ``TextBlob`` will be installed/upgraded automatically when running \n ``pip install``. The second line (``python -m textblob.download_corpora``) \n downloads/updates nltk corpora and language models used in ``TextBlob``.\n\n\nUsage\n-----\n\n.. code-block:: python\n\n >>> from textblob_de import TextBlobDE as TextBlob\n >>> text = '''Heute ist der 3. Mai 2014 und Dr. Meier feiert seinen 43. Geburtstag. \n Ich muss unbedingt daran denken, Mehl, usw. f\u00fcr einen Kuchen einzukaufen. Aber leider \n habe ich nur noch EUR 3.50 in meiner Brieftasche.'''\n >>> blob = TextBlob(text)\n >>> blob.sentences\n [Sentence(\"Heute ist der 3. Mai 2014 und Dr. Meier feiert seinen 43. Geburtstag.\"),\n Sentence(\"Ich muss unbedingt daran denken, Mehl, usw. f\u00fcr einen Kuchen einzukaufen.\"),\n Sentence(\"Aber leider habe ich nur noch EUR 3.50 in meiner Brieftasche.\")]\n >>> blob.tokens\n WordList(['Heute', 'ist', 'der', '3.', 'Mai', ...]\n >>> blob.tags\n [('Heute', 'RB'), ('ist', 'VB'), ('der', 'DT'), ('3.', 'LS'), ('Mai', 'NN'), \n ('2014', 'CD'), ...]\n # Default: Only noun_phrases that consist of two or more meaningful parts are displayed.\n # Not perfect, but a start (relies heavily on parser accuracy)\n >>> blob.noun_phrases\n WordList(['Mai 2014', 'Dr. Meier', 'seinen 43. Geburtstag', 'Kuchen einzukaufen', \n 'meiner Brieftasche'])\n\n\n.. code-block:: python\n\n >>> blob = TextBlob(\"Das Auto ist sehr sch\u00f6n.\")\n >>> blob.parse()\n 'Das/DT/B-NP/O Auto/NN/I-NP/O ist/VB/B-VP/O sehr/RB/B-ADJP/O sch\u00f6n/JJ/I-ADJP/O'\n >>> from textblob_de import PatternParser\n >>> blob = TextBlobDE(\"Das ist ein sch\u00f6nes Auto.\", parser=PatternParser(pprint=True, lemmata=True))\n >>> blob.parse()\n WORD TAG CHUNK ROLE ID PNP LEMMA \n\n Das DT - - - - das \n ist VB VP - - - sein \n ein DT NP - - - ein \n sch\u00f6nes JJ NP ^ - - - sch\u00f6n \n Auto NN NP ^ - - - auto \n . . - - - - . \n >>> from textblob_de import PatternTagger\n >>> blob = TextBlob(text, pos_tagger=PatternTagger(include_punc=True))\n [('Das', 'DT'), ('Auto', 'NN'), ('ist', 'VB'), ('sehr', 'RB'), ('sch\u00f6n', 'JJ'), ('.', '.')]\n\n\n.. code-block:: python\n\n >>> blob = TextBlob(\"Das Auto ist sehr sch\u00f6n.\")\n >>> blob.sentiment\n Sentiment(polarity=1.0, subjectivity=0.0)\n >>> blob = TextBlob(\"Das ist ein h\u00e4ssliches Auto.\") \n >>> blob.sentiment\n Sentiment(polarity=-1.0, subjectivity=0.0)\n\n\n.. warning::\n\n **WORK IN PROGRESS:** The German polarity lexicon contains only uninflected\n forms and there are no subjectivity scores yet. As of version 0.2.3, lemmatized\n word forms are submitted to the ``PatternAnalyzer``, increasing the accuracy\n of polarity values. New in version 0.2.7: return type of ``.sentiment`` is now\n adapted to the main `TextBlob `_ library (``:rtype: namedtuple``).\n\n\n.. code-block:: python\n\n >>> blob.words.lemmatize()\n WordList(['das', 'sein', 'ein', 'h\u00e4sslich', 'Auto'])\n >>> from textblob_de.lemmatizers import PatternParserLemmatizer\n >>> _lemmatizer = PatternParserLemmatizer()\n >>> _lemmatizer.lemmatize(\"Das ist ein h\u00e4ssliches Auto.\")\n [('das', 'DT'), ('sein', 'VB'), ('ein', 'DT'), ('h\u00e4sslich', 'JJ'), ('Auto', 'NN')]\n\n\n.. note::\n\n Make sure that you use unicode strings on Python2 if your input contains\n non-ascii characters (e.g. ``word = u\"sch\u00f6n\"``).\n\n\nAccess to ``pattern`` API in Python3\n------------------------------------\n\n.. code-block:: python\n\n >>> from textblob_de.packages import pattern_de as pd\n >>> print(pd.attributive(\"neugierig\", gender=pd.FEMALE, role=pd.INDIRECT, article=\"die\"))\n neugierigen\n\n.. note::\n\n Alternatively, the path to ``textblob_de/ext`` can be added to the ``PYTHONPATH``, which allows\n the use of ``pattern.de`` in almost the same way as described in its \n `Documentation `_.\n The only difference is that you will have to prepend an underscore: \n ``from _pattern.de import ...``. This is a precautionary measure in case the ``pattern``\n library gets native Python3 support in the future.\n\n\nDocumentation and API Reference\n-------------------------------\n\n- http://textblob-de.readthedocs.org/en/latest\n\n\nRequirements\n------------\n\n- Python >= 2.6 or >= 3.3\n\nTODO\n----\n\n- `Planned Extensions `_\n- Additional PoS tagging options, e.g. NLTK tagging (``NLTKTagger``)\n- Improve noun phrase extraction (e.g. based on ``RFTagger`` output)\n- Improve sentiment analysis (find suitable subjectivity scores)\n- Improve functionality of ``Sentence()`` and ``Word()`` objects\n- Adapt more tests from the main `TextBlob `_ library (esp. for ``TextBlobDE()`` in ``test_blob.py``)\n\n\nLicense\n-------\n\nMIT licensed. See the bundled `LICENSE `_ file for more details.\n\n\nThanks\n------\n\nCoded with Wing IDE (free open source developer license)\n\n.. image:: https://wingware.com/images/wingware-logo-180x58.png\n :target: https://wingware.com/store/free\n :alt: Python IDE for Python - wingware.com\n\n\n\nChangelog\n---------\n\n0.4.3 (03/01/2019)\n++++++++++++++++++\n\n* Added support for Python3.7 (``StopIteration --> return``) `Pull Request #18 `_ (thanks @andrewmfiorillo)\n* Fixed tests for Google translation examples\n* Updated tox/Travis-CI config files to include latest Python & pypy versions\n* Updated sphinx_rtd_theme to version 0.4.2 to fix rendering problems on `RTD `_\n* Updated ``setup.py publish`` commands, ``Makefile`` & ``Manifest.in`` to new PiPy (using ``twine``)\n\n0.4.2 (02/05/2015)\n++++++++++++++++++\n\n* Removed dependency on `NLTK, `_ as it already is a `TextBlob `_ dependency\n* Temporary workaround for `NLTK Issue #824 `_ for tox/Travis-CI\n* (update 13/01/2015) `NLTK Issue #824 `_ fixed, workaround removed\n* Enabled ``pattern`` tagset conversion (``'penn'|'universal'|'stts'``) for ``PatternTagger``\n* Added tests for tagset conversion\n* Fixed test for Arabic translation example (Google translation has changed)\n* Added tests for lemmatizer\n* Bugfix: ``PatternAnalyzer`` no longer breaks on subsequent ocurrences of the same ``(word, tag)`` pairs on Python3 see comments to `Pull Request #11 `_\n* Bugfix/performance enhancement: Sentiment dictionary in ``PatternAnalyzer`` no longer reloaded for every sentence `Pull Request #11 `_ (thanks @Arttii)\n\n0.4.1 (03/10/2014)\n++++++++++++++++++\n\n* Docs hosted on `RTD `_\n* Removed dependency on nltk's depricated ``PunktWordTokenizer`` and replaced it with ``TreebankWordTokenizer`` see `nltk/nltk#746 (comment) `_ for details\n\n0.4.0 (17/09/2014)\n++++++++++++++++++\n\n* Fixed `Issue #7 `_ (restore ``textblob>=0.9.0`` compatibility)\n* Depend on ``nltk3``. Vendorized ``nltk`` was removed in ``textblob>=0.9.0``\n* Fixed ``ImportError`` on Python2 (``unicodecsv``)\n\n\n0.3.1 (29/08/2014)\n++++++++++++++++++\n\n* Improved ``PatternParserNPExtractor`` (less false positives in verb filter)\n* Made sure that all keyword arguments with default ``None`` are checked with ``is not None``\n* Fixed shortcut to ``_pattern.de`` in vendorized library\n* Added ``Makefile`` to facilitate development process\n* Added docs and API reference\n\n0.3.0 (14/08/2014)\n++++++++++++++++++\n\n* Fixed `Issue #5 `_ (text + space + period)\n\n0.2.9 (14/08/2014)\n++++++++++++++++++\n\n* Fixed tokenization in ``PatternParser`` (if initialized manually, punctuation was not always separated from words)\n* Improved handling of empty strings (Issue #3) and of strings containing single punctuation marks (Issue #4) in ``PatternTagger`` and ``PatternParser``\n* Added tests for empty strings and for strings containing single punctuation marks\n\n0.2.8 (14/08/2014)\n++++++++++++++++++\n\n* Fixed `Issue #3 `_ (empty string)\n* Fixed `Issue #4 `_ (space + punctuation)\n\n0.2.7 (13/08/2014)\n++++++++++++++++++\n\n* Fixed `Issue #1 `_ lemmatization of strings containing a forward slash (``/``)\n* Enhancement `Issue #2 `_ use the same rtype as ``textblob`` for sentiment detection.\n* Fixed tokenization in ``PatternParserLemmatizer``\n\n0.2.6 (04/08/2014)\n++++++++++++++++++\n\n* Fixed ``MANIFEST.in`` for package data in ``sdist``\n\n0.2.5 (04/08/2014)\n++++++++++++++++++\n\n* ``sdist`` is non-functional as important files are missing due to a misconfiguration in ``MANIFEST.in`` - does not affect ``wheels``\n* Major internal refactoring (but no backwards-incompatible API changes) with the aim of restoring complete compatibility to original ``pattern>=2.6`` library on Python2\n* Separation of ``textblob`` and ``pattern`` code\n* On Python2 the vendorized version of ``pattern.text.de`` is only used if original is not installed (same as ``nltk``)\n* Made ``pattern.de.pprint`` function and all parser keywords accessible to customise parser output\n* Access to complete ``pattern.text.de`` API on Python2 and Python3 ``from textblob_de.packages import pattern_de as pd``\n* ``tox`` passed on all major platforms (Win/Linux/OSX)\n\n0.2.3 (26/07/2014)\n++++++++++++++++++\n\n* Lemmatizer: ``PatternParserLemmatizer()`` extracts lemmata from Parser output\n* Improved polarity analysis through look-up of lemmatised word forms\n\n0.2.2 (22/07/2014)\n++++++++++++++++++\n\n* Option: Include punctuation in ``tags``/``pos_tags`` properties (``b = TextBlobDE(text, tagger=PatternTagger(include_punc=True))``)\n* Added ``BlobberDE()`` class initialized with German models\n* ``TextBlobDE()``, ``Sentence()``, ``WordList()`` and ``Word()`` classes are now all initialized with German models\n* Restored complete API compatibility with ``textblob.tokenizers`` module of the main `TextBlob `_ library\n\n0.2.1 (20/07/2014)\n++++++++++++++++++\n\n* Noun Phrase Extraction: ``PatternParserNPExtractor()`` extracts NPs from Parser output\n* Refactored the way ``TextBlobDE()`` passes on arguments and keyword arguments to individual tools\n* *Backwards-incompatible*: Deprecate ``parser_show_lemmata=True`` keyword in ``TextBlob()``. Use ``parser=PatternParser(lemmata=True)`` instead.\n\n0.2.0 (18/07/2014)\n++++++++++++++++++\n\n* vastly improved tokenization (``NLTKPunktTokenizer`` and ``PatternTokenizer`` with tests)\n* consistent use of specified tokenizer for all tools\n* ``TextBlobDE`` with initialized default models for German\n* Parsing (``PatternParser``) plus ``test_parsers.py``\n* **EXPERIMENTAL** implementation of Polarity detection (``PatternAnalyzer``)\n* first attempt at extracting German Polarity clues into ``de-sentiment.xml``\n* tox tests passing for py26, py27, py33 and py34\n\n0.1.3 (09/07/2014)\n++++++++++++++++++\n\n* First release on PyPI\n\n0.1.0 - 0.1.2 (09/07/2014)\n++++++++++++++++++++++++++\n\n* First release on github\n* A number of experimental releases for testing purposes\n* Adapted version badges, tests & travis-ci config\n* Code adapted from sample extension `textblob-fr `_\n* Language specific linguistic resources copied from `pattern-de `_\n\n\n",
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