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German language support for TextBlob <http://textblob.readthedocs.org/en/dev/>_ by Steven Loria.
This python package is being developed as a TextBlob Language Extension.
See Extension Guidelines <https://textblob.readthedocs.org/en/dev/contributing.html>_ for details.
textblob_de classes (e.g. Sentence() or Word()) are initialized with default models for GermanNotImplementedErrorNLTKPunktTokenizer)NLTKPunktTokenizer or PatternTokenizer)PatternTagger) with keyword include_punc=True (defaults to False)PatternTagger with keyword tagset='penn'|'universal'|'stts' (defaults to penn)PatternParser) with all pattern keywords, plus pprint=True (defaults to False)PatternParserNPExtractor)PatternParserLemmatizer)PatternAnalyzer) - Still EXPERIMENTAL, does not yet have information on subjectivitypattern.text.de API support on Python3working features overview <http://langui.ch/nlp/python/textblob-de-dev/>_ for details::
$ pip install -U textblob-de
$ python -m textblob.download_corpora
Or the latest development release (apparently this does not always work on Windows see
issues #1744/5 <https://github.com/pypa/pip/pull/1745>_ for details)::
$ 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.
.. 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 3.50 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 3.50 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'), ...]
# Default: Only noun_phrases that consist of two or more meaningful parts are displayed.
# Not perfect, but a start (relies heavily on parser accuracy)
>>> blob.noun_phrases
WordList(['Mai 2014', 'Dr. Meier', 'seinen 43. Geburtstag', 'Kuchen einzukaufen',
'meiner Brieftasche'])
.. 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'
>>> from textblob_de import PatternParser
>>> blob = TextBlobDE("Das ist ein schönes Auto.", parser=PatternParser(pprint=True, lemmata=True))
>>> blob.parse()
WORD TAG CHUNK ROLE ID PNP LEMMA
Das DT - - - - das
ist VB VP - - - sein
ein DT NP - - - ein
schönes JJ NP ^ - - - schön
Auto NN NP ^ - - - auto
. . - - - - .
>>> from textblob_de import PatternTagger
>>> blob = TextBlob(text, pos_tagger=PatternTagger(include_punc=True))
[('Das', 'DT'), ('Auto', 'NN'), ('ist', 'VB'), ('sehr', 'RB'), ('schön', 'JJ'), ('.', '.')]
.. code-block:: python
>>> blob = TextBlob("Das Auto ist sehr schön.")
>>> blob.sentiment
Sentiment(polarity=1.0, subjectivity=0.0)
>>> blob = TextBlob("Das ist ein hässliches Auto.")
>>> blob.sentiment
Sentiment(polarity=-1.0, subjectivity=0.0)
.. warning::
**WORK IN PROGRESS:** The German polarity lexicon contains only uninflected
forms and there are no subjectivity scores yet. As of version 0.2.3, lemmatized
word forms are submitted to the ``PatternAnalyzer``, increasing the accuracy
of polarity values. New in version 0.2.7: return type of ``.sentiment`` is now
adapted to the main `TextBlob <http://textblob.readthedocs.org/en/dev/>`_ library (``:rtype: namedtuple``).
.. code-block:: python
>>> blob.words.lemmatize()
WordList(['das', 'sein', 'ein', 'hässlich', 'Auto'])
>>> from textblob_de.lemmatizers import PatternParserLemmatizer
>>> _lemmatizer = PatternParserLemmatizer()
>>> _lemmatizer.lemmatize("Das ist ein hässliches Auto.")
[('das', 'DT'), ('sein', 'VB'), ('ein', 'DT'), ('hässlich', 'JJ'), ('Auto', 'NN')]
.. note::
Make sure that you use unicode strings on Python2 if your input contains
non-ascii characters (e.g. ``word = u"schön"``).
pattern API in Python3.. code-block:: python
>>> from textblob_de.packages import pattern_de as pd
>>> print(pd.attributive("neugierig", gender=pd.FEMALE, role=pd.INDIRECT, article="die"))
neugierigen
.. note::
Alternatively, the path to textblob_de/ext can be added to the PYTHONPATH, which allows
the use of pattern.de in almost the same way as described in its
Documentation <http://www.clips.ua.ac.be/pages/pattern-de>_.
The only difference is that you will have to prepend an underscore:
from _pattern.de import .... This is a precautionary measure in case the pattern
library gets native Python3 support in the future.
Planned Extensions <http://textblob-de.readthedocs.org/en/latest/extensions.html>_NLTKTagger)RFTagger output)Sentence() and Word() objectsTextBlob <http://textblob.readthedocs.org/en/dev/>_ library (esp. for TextBlobDE() in test_blob.py)MIT licensed. See the bundled LICENSE <https://github.com/markuskiller/textblob-de/blob/master/LICENSE>_ file for more details.
Coded with Wing IDE (free open source developer license)
.. image:: https://wingware.com/images/wingware-logo-180x58.png :target: https://wingware.com/store/free :alt: Python IDE for Python - wingware.com
0.4.3 (03/01/2019) ++++++++++++++++++
StopIteration --> return) Pull Request #18 <https://github.com/markuskiller/textblob-de/pull/18>_ (thanks @andrewmfiorillo)RTD <http://textblob-de.readthedocs.org>_setup.py publish commands, Makefile & Manifest.in to new PiPy (using twine)0.4.2 (02/05/2015) ++++++++++++++++++
NLTK, <https://github.com/nltk/nltk/>_ as it already is a TextBlob <http://textblob.readthedocs.org/en/dev/>_ dependencyNLTK Issue #824 <https://github.com/nltk/nltk/issues/824>_ for tox/Travis-CINLTK Issue #824 <https://github.com/nltk/nltk/issues/824>_ fixed, workaround removedpattern tagset conversion ('penn'|'universal'|'stts') for PatternTaggerPatternAnalyzer no longer breaks on subsequent ocurrences of the same (word, tag) pairs on Python3 see comments to Pull Request #11 <https://github.com/markuskiller/textblob-de/pull/11>_PatternAnalyzer no longer reloaded for every sentence Pull Request #11 <https://github.com/markuskiller/textblob-de/pull/11>_ (thanks @Arttii)0.4.1 (03/10/2014) ++++++++++++++++++
RTD <http://textblob-de.readthedocs.org>_PunktWordTokenizer and replaced it with TreebankWordTokenizer see nltk/nltk#746 (comment) <https://github.com/nltk/nltk/pull/746#issuecomment-57625756>_ for details0.4.0 (17/09/2014) ++++++++++++++++++
Issue #7 <https://github.com/markuskiller/textblob-de/issues/7>_ (restore textblob>=0.9.0 compatibility)nltk3. Vendorized nltk was removed in textblob>=0.9.0ImportError on Python2 (unicodecsv)0.3.1 (29/08/2014) ++++++++++++++++++
PatternParserNPExtractor (less false positives in verb filter)None are checked with is not None_pattern.de in vendorized libraryMakefile to facilitate development process0.3.0 (14/08/2014) ++++++++++++++++++
Issue #5 <https://github.com/markuskiller/textblob-de/issues/5>_ (text + space + period)0.2.9 (14/08/2014) ++++++++++++++++++
PatternParser (if initialized manually, punctuation was not always separated from words)PatternTagger and PatternParser0.2.8 (14/08/2014) ++++++++++++++++++
Issue #3 <https://github.com/markuskiller/textblob-de/issues/3>_ (empty string)Issue #4 <https://github.com/markuskiller/textblob-de/issues/4>_ (space + punctuation)0.2.7 (13/08/2014) ++++++++++++++++++
Issue #1 <https://github.com/markuskiller/textblob-de/issues/1>_ lemmatization of strings containing a forward slash (/)Issue #2 <https://github.com/markuskiller/textblob-de/issues/2>_ use the same rtype as textblob for sentiment detection.PatternParserLemmatizer0.2.6 (04/08/2014) ++++++++++++++++++
MANIFEST.in for package data in sdist0.2.5 (04/08/2014) ++++++++++++++++++
sdist is non-functional as important files are missing due to a misconfiguration in MANIFEST.in - does not affect wheelspattern>=2.6 library on Python2textblob and pattern codepattern.text.de is only used if original is not installed (same as nltk)pattern.de.pprint function and all parser keywords accessible to customise parser outputpattern.text.de API on Python2 and Python3 from textblob_de.packages import pattern_de as pdtox passed on all major platforms (Win/Linux/OSX)0.2.3 (26/07/2014) ++++++++++++++++++
PatternParserLemmatizer() extracts lemmata from Parser output0.2.2 (22/07/2014) ++++++++++++++++++
tags/pos_tags properties (b = TextBlobDE(text, tagger=PatternTagger(include_punc=True)))BlobberDE() class initialized with German modelsTextBlobDE(), Sentence(), WordList() and Word() classes are now all initialized with German modelstextblob.tokenizers module of the main TextBlob <http://textblob.readthedocs.org/en/dev/>_ library0.2.1 (20/07/2014) ++++++++++++++++++
PatternParserNPExtractor() extracts NPs from Parser outputTextBlobDE() passes on arguments and keyword arguments to individual toolsparser_show_lemmata=True keyword in TextBlob(). Use parser=PatternParser(lemmata=True) instead.0.2.0 (18/07/2014) ++++++++++++++++++
NLTKPunktTokenizer and PatternTokenizer with tests)TextBlobDE with initialized default models for GermanPatternParser) plus test_parsers.pyPatternAnalyzer)de-sentiment.xml0.1.3 (09/07/2014) ++++++++++++++++++
0.1.0 - 0.1.2 (09/07/2014) ++++++++++++++++++++++++++
textblob-fr <https://github.com/sloria/textblob-fr>_pattern-de <https://github.com/clips/pattern/tree/master/pattern/text/de>_FAQs
German language support for TextBlob.
We found that textblob-de demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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