TextBlob
v0.7.0
Homepage: https://textblob.readthedocs.io/
TextBlob is a Python 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, and more.
from textblob import TextBlobtext = """The titular threat of The Blob has always struck me as the ultimate moviemonster: an insatiably hungry, amoeba-like mass able to penetratevirtually any safeguard, capable of--as a doomed doctor chillinglydescribes it--"assimilating flesh on contact.Snide comparisons to gelatin be damned, it's a concept with the mostdevastating of potential consequences, not unlike the grey goo scenarioproposed by technological theorists fearful ofartificial 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# -0.341TextBlob stands on the giant shoulders of NLTK and pattern, and plays nicely with both.
Noun phrase extraction
Part-of-speech tagging
Sentiment analysis
Classification (Naive Bayes, Decision Tree)
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
$ pip install -U textblob $ python -m textblob.download_corpora
See more examples at the Quickstart guide.
Full documentation is available at https://textblob.readthedocs.io/.
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
MIT licensed. See the bundled LICENSE file for more details.
