TextBlob: Simplified Text Processing

Homepage: 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.

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.

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 file for more details.

Metadata

Release files for textblob 0.15.1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for textblob 0.15.1
File	Size	Uploaded
textblob-0.15.1.tar.gz	631.4 kB	Jan 20, 2018	Details

Built distribution (wheel)

Table of built distributions (wheels) for textblob 0.15.1
File	Interpreter	ABI	Platform	Reset
textblob-0.15.1-py2.py3-none-any.whl 631.8 kB Jan 20, 2018	Python 3, Python 2	none	any	Details

Total release size: 1.3 MB

Release files / textblob-0.15.1.tar.gz

Download URL	textblob-0.15.1.tar.gz
Size	631.4 kB
Tags	Source
SHA-256 checksum How to use checksums	`7c9ff21a47a382fa4f235e84ce9be10cca4b9d46b012b79af6e47ea81b478a18`
BLAKE2b-256 checksum How to use checksums	`178230cf0e956bfe747be4e4f15b4cb14bef43ee7e7d73cf3f2a16307b759b55`
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Release files / textblob-0.15.1-py2.py3-none-any.whl

Download URL	textblob-0.15.1-py2.py3-none-any.whl
Size	631.8 kB
Tags	Python 2 Python 3
SHA-256 checksum How to use checksums	`8301812cbef9b2f288e14df904854f7457fccf2c52020b66d3f9bc1448cf042a`
BLAKE2b-256 checksum How to use checksums	`11187f55c8be6d68ddc4036ffda5382ca51e23a1075987f708b9123712091af1`
Upload date	Jan 20, 2018
Uploaded using Trusted Publishing? What is trusted publishing?	No