Natural Language Processing

TextBlob – Python (2 and 3) library for processing textual data

TextBlob is an open source, Python (2 and 3) library for processing textual data.

It provides a consistent API for diving into common natural language processing (NLP) tasks such as part-of-speech tagging, noun phrase extraction, sentiment analysis, and more.

TextBlob aims to provide access to common text-processing operations through a familiar interface.

Key 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.

Website: textblob.readthedocs.io
Support: PyPi, GitHub code repository
Developer: Steven Loria and many contributors
License: MIT License

TextBlob is written in Python. Learn Python with our recommended free books and free tutorials.


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