Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, 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
TextBlobis 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)
TextBlob stands on the giant shoulders of
pattern_, and plays nicely with both.
$ pip install -U textblob $ python -m textblob.download_corpora
See more examples at the
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_ file for more details.
.. _pattern: https://github.com/clips/pattern/ .. _NLTK: http://nltk.org/