Metadata-Version: 2.0
Name: textblob
Version: 0.11.0
Summary: Simple, Pythonic text processing. Sentiment analysis, part-of-speech tagging, noun phrase parsing, and more.
Home-page: https://github.com/sloria/TextBlob
Author: Steven Loria
Author-email: sloria1@gmail.com
License: Copyright 2013-2015 Steven Loria
Requires-Dist: nltk (>=3.1)

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
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.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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Description: 
        TextBlob: Simplified Text Processing
        ====================================
        
        .. image:: https://badge.fury.io/py/textblob.png
            :target: http://badge.fury.io/py/textblob
            :alt: Latest version
        
        .. image:: https://travis-ci.org/sloria/TextBlob.png?branch=master
            :target: https://travis-ci.org/sloria/TextBlob
            :alt: Travis-CI
        
        Homepage: `https://textblob.readthedocs.org/ <https://textblob.readthedocs.org/>`_
        
        `TextBlob` is a Python (2 and 3) library for processing textual data. It provides a simple API for diving into common natural language processing (NLP) tasks such as part-of-speech tagging, noun phrase extraction, sentiment analysis, classification, translation, and more.
        
        
        .. code-block:: python
        
            from textblob import TextBlob
        
            text = '''
            The titular threat of The Blob has always struck me as the ultimate movie
            monster: an insatiably hungry, amoeba-like mass able to penetrate
            virtually any safeguard, capable of--as a doomed doctor chillingly
            describes it--"assimilating flesh on contact.
            Snide comparisons to gelatin be damned, it's a concept with the most
            devastating of potential consequences, not unlike the grey goo scenario
            proposed by technological theorists fearful of
            artificial intelligence run rampant.
            '''
        
            blob = TextBlob(text)
            blob.tags           # [('The', 'DT'), ('titular', 'JJ'),
                                #  ('threat', 'NN'), ('of', 'IN'), ...]
        
            blob.noun_phrases   # WordList(['titular threat', 'blob',
                                #            'ultimate movie monster',
                                #            'amoeba-like mass', ...])
        
            for sentence in blob.sentences:
                print(sentence.sentiment.polarity)
            # 0.060
            # -0.341
        
            blob.translate(to="es")  # 'La amenaza titular de The Blob...'
        
        TextBlob stands on the giant shoulders of `NLTK`_ and `pattern`_, and plays nicely with both.
        
        Features
        --------
        
        - Noun phrase extraction
        - Part-of-speech tagging
        - Sentiment analysis
        - Classification (Naive Bayes, Decision Tree)
        - Language translation and detection powered by Google Translate
        - Tokenization (splitting text into words and sentences)
        - Word and phrase frequencies
        - Parsing
        - `n`-grams
        - Word inflection (pluralization and singularization) and lemmatization
        - Spelling correction
        - Add new models or languages through extensions
        - WordNet integration
        
        Get it now
        ----------
        ::
        
            $ pip install -U textblob
            $ python -m textblob.download_corpora
        
        Examples
        --------
        
        See more examples at the `Quickstart guide`_.
        
        .. _`Quickstart guide`: https://textblob.readthedocs.org/en/latest/quickstart.html#quickstart
        
        
        Documentation
        -------------
        
        Full documentation is available at https://textblob.readthedocs.org/.
        
        Requirements
        ------------
        
        - Python >= 2.6 or >= 3.3
        
        Project Links
        -------------
        
        - Docs: https://textblob.readthedocs.org/
        - Changelog: https://textblob.readthedocs.org/en/latest/changelog.html
        - PyPI: https://pypi.python.org/pypi/TextBlob
        - Issues: https://github.com/sloria/TextBlob/issues
        
        License
        -------
        
        MIT licensed. See the bundled `LICENSE <https://github.com/sloria/TextBlob/blob/master/LICENSE>`_ file for more details.
        
        .. _pattern: http://www.clips.ua.ac.be/pattern
        .. _NLTK: http://nltk.org/
        
Keywords: textblob,nlp,linguistics,nltk,pattern
Platform: UNKNOWN
Classifier: Intended Audience :: Developers
Classifier: Natural Language :: English
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2.6
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3.3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Programming Language :: Python :: Implementation :: PyPy
Classifier: Topic :: Text Processing :: Linguistic