sloria/TextBlob

Health v2 · maintenance only

Adoption not part of the score

9544 stars · 1193 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

TextBlob is a Python library providing a simple, consistent API for common NLP tasks such as part-of-speech tagging, noun phrase extraction, sentiment analysis, tokenization, classification, and spelling correction. It builds on NLTK and pattern and supports extension with new models and languages.

Use cases

• analyze sentiment of reviews in python
• extract noun phrases from text
• part-of-speech tagging for a corpus
• tokenize text into sentences and words
• correct spelling mistakes in text
• train a naive bayes text classifier
• lemmatize and pluralize words

When to choose

• you want a beginner-friendly, Pythonic API for standard NLP tasks
• you need quick sentiment analysis or tagging without deep learning
• you already use NLTK and want a simpler interface

When to avoid

• you need state-of-the-art transformer-based NLP accuracy
• you need high-performance processing of very large text corpora
• you need multilingual support beyond what its models provide

Facets

library · maturity stable

nlp parser machine-learning text-editors data-science python cross-platform sentiment-analysis pos-tagging nltk tokenization spelling-correction wordnet text-processing natural-language-processing

Member repositories

For agents

markdown · JSON · MCP: product_card(name="sloria/TextBlob")