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.
Features include:
- 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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