# sloria/TextBlob

Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more.

Repository: https://github.com/sloria/TextBlob
Canonical: https://ross.abutalabs.com/products/textblob
Homepage: https://textblob.readthedocs.io/
Language: Python
License: MIT
License Family: permissive
Topics: nlp, nltk, pattern, python, natural-language-processing
Last push: 2026-08-25T00:43:01+00:00

## Health v2 (maintenance only)
Score: 67/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 99, release rhythm 8, longevity 100
- inputs: {"age_days": 4812, "days_push": 9, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 9544, forks 1193 (observed 2026-08-28T04:10:31.811631+00:00)

## What it is
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
- artifact type: library
- maturity: stable
- function: nlp, parser, machine-learning
- domain: text-editors, data-science
- platform: python, cross-platform
- tags: sentiment-analysis, pos-tagging, nltk, tokenization, spelling-correction, wordnet, text-processing, natural-language-processing

## Member repositories
- sloria/TextBlob (main) score 67

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:10:31.811631+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:21:58.136525+00:00, confidence not recorded.
  - readme: https://github.com/sloria/TextBlob (fetched 2026-08-28T04:10:31.811631+00:00, sha 97c14a07b8f0)
  - homepage: https://textblob.readthedocs.io/ (fetched 2026-08-29T08:21:35.221707+00:00, sha 401759feb6a9)
  - registry_pypi: https://pypi.org/pypi/textblob/json (fetched 2026-08-29T08:21:35.231371+00:00, sha 65196ab4e02a)
- Data as of 2026-08-30T08:39:29.467469+00:00.