Metadata-Version: 1.1
Name: afilnet
Version: 0.1.4.3
Summary: This package is an easy way to use send sms, email and voice(texto-to-speech) using Afilnet services
Home-page: http://github.com/afilnet/api-python
Author: Afilnet Cloud Marketing
Author-email: soporte@afilnet.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.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: afilnet sms email voice message phone call notification cloud marketing service
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Telecommunications Industry
Classifier: Intended Audience :: Customer Service
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
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
Classifier: Programming Language :: Python :: 3.5
