Metadata-Version: 1.1
Name: textblob
Version: 0.12.0
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: MIT
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.io/ <https://textblob.readthedocs.io/>`_
        
        `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.io/en/latest/quickstart.html#quickstart
        
        
        Documentation
        -------------
        
        Full documentation is available at https://textblob.readthedocs.io/.
        
        Requirements
        ------------
        
        - Python >= 2.7 or >= 3.4
        
        Project Links
        -------------
        
        - Docs: https://textblob.readthedocs.io/
        - Changelog: https://textblob.readthedocs.io/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 :: 2.7
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Programming Language :: Python :: Implementation :: PyPy
Classifier: Topic :: Text Processing :: Linguistic
