#6 · Primary category： NLP Tools & Text Processing
TextBlob
Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more.
Project last updated：08/25/26
GitHub Stars
9.5K
Forks
1.2K
Contributors
40
License
MIT
Why we included this project
TextBlob is a good first stop for Python developers who want NLP results without building everything from scratch. It wraps NLTK and pattern behind a clean, object-oriented API, so a few lines of code handle part-of-speech tagging, noun phrase extraction, sentence-level sentiment polarity, tokenization, n-grams, and spelling correction. That makes it handy for quick text-analysis scripts and lightweight sentiment checks on user feedback or reviews. It's also a common choice for teaching and prototyping before committing to a heavier pipeline. Built-in Naive Bayes and decision tree classifiers, WordNet integration, and hooks for adding your own models or languages extend it beyond a single task. The MIT license and plain Python API make it easy to drop into an existing project and reason about.
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