Simple, Pythonic text processing. Sentiment analysis, part-of-speech tagging, noun phrase parsing, and more.
.. 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
TextBlob stands on the giant shoulders of NLTK
_ and pattern
_, and plays nicely with both.
n
-grams::
$ pip install -U textblob
$ python -m textblob.download_corpora
See more examples at the Quickstart guide
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.. _Quickstart guide
: https://textblob.readthedocs.io/en/latest/quickstart.html#quickstart
Full documentation is available at https://textblob.readthedocs.io/.
MIT licensed. See the bundled LICENSE <https://github.com/sloria/TextBlob/blob/master/LICENSE>
_ file for more details.
.. _pattern: https://github.com/clips/pattern/ .. _NLTK: http://nltk.org/