TextBlob: Simplified Text Processing

.. image:: https://badgen.net/pypi/v/TextBlob
:target: https://pypi.org/project/textblob/
:alt: Latest version

.. image:: https://badgen.net/travis/sloria/TextBlob/dev
: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/