Metadata-Version: 2.3 Name: textblob Version: 0.19.0 Summary: Simple, Pythonic text processing. Sentiment analysis, part-of-speech tagging, noun phrase parsing, and more. Keywords: textblob,nlp,linguistics,nltk,pattern Author-email: Steven Loria Requires-Python: >=3.9 Description-Content-Type: text/x-rst Classifier: Intended Audience :: Developers Classifier: License :: OSI Approved :: MIT License Classifier: Programming Language :: Python :: 3 Classifier: Programming Language :: Python :: 3.9 Classifier: Programming Language :: Python :: 3.10 Classifier: Programming Language :: Python :: 3.11 Classifier: Programming Language :: Python :: 3.12 Classifier: Programming Language :: Python :: 3.13 Classifier: Topic :: Text Processing :: Linguistic Requires-Dist: nltk>=3.9 Requires-Dist: textblob[tests] ; extra == "dev" Requires-Dist: tox ; extra == "dev" Requires-Dist: pre-commit~=3.5 ; extra == "dev" Requires-Dist: sphinx==8.0.2 ; extra == "docs" Requires-Dist: sphinx-issues==4.1.0 ; extra == "docs" Requires-Dist: PyYAML==6.0.2 ; extra == "docs" Requires-Dist: pytest ; extra == "tests" Requires-Dist: numpy ; extra == "tests" Project-URL: Changelog, https://textblob.readthedocs.io/en/latest/changelog.html Project-URL: Issues, https://github.com/sloria/TextBlob/issues Project-URL: Source, https://github.com/sloria/TextBlob Provides-Extra: dev Provides-Extra: docs Provides-Extra: tests TextBlob: Simplified Text Processing ==================================== .. image:: https://badgen.net/pypi/v/TextBlob :target: https://pypi.org/project/textblob/ :alt: Latest version .. image:: https://github.com/sloria/TextBlob/actions/workflows/build-release.yml/badge.svg :target: https://github.com/sloria/TextBlob/actions/workflows/build-release.yml :alt: Build status 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. .. 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. Features -------- - 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 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/. 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. .. _pattern: https://github.com/clips/pattern/ .. _NLTK: http://nltk.org/