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AI toolsModels & APIsTextBlob

Added Nov 5, 2026

TextBlob

Free
Steven LoriaModels & APIs views clicks to the websiteNo ratings
Use tool

Python library for sentiment analysis, tagging and text classification

Sentiment analysisPart-of-speech taggingNoun phrase extractionText classificationTokenization and n-gramsFree
OverviewReleasesPricingAlternativesPros & ConsPromptsReviewsQ&A
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textblob.readthedocs.io
TextBlobPython library for sentiment analysis, tagging and text classificationVisit textblob.readthedocs.io

What is TextBlob?

TextBlob is an open-source Python library that wraps common natural language processing tasks in a simple API. Developers use it for part-of-speech tagging, noun phrase extraction, sentiment analysis and training text classifiers without much setup.

You wrap a string in a TextBlob object and read properties such as tags, noun phrases, sentences and sentiment polarity. It builds on NLTK and pattern, and also supports tokenization, word inflection, n-grams and simple classifiers such as Naive Bayes trained on your own labeled data.

Because it favors simplicity over the latest models, it suits prototypes, teaching and lightweight scripts more than production-grade language understanding. The project is free under the MIT license and is documented on Read the Docs.

Features

  • Sentiment analysis
  • Part-of-speech tagging
  • Noun phrase extraction
  • Text classification
  • Tokenization and n-grams

Tags

NLPPythonOpen Source

Releases

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  1. ListedNov 5, 2026

    TextBlob was added to the directory.

Organization

Steven Loria

Listed by kitio.ai · unverified owner

Pricing

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Pros and cons

Pros

  • Very easy API
  • Free and open source
  • Good for quick prototypes

Cons

  • Classic NLP, not modern LLMs
  • Accuracy trails newer libraries
  • Python only

Prompts & results

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Reviews

Q&A

What is TextBlob?

TextBlob is an open-source Python library that wraps common natural language processing tasks in a simple API. Developers use it for part-of-speech tagging, noun phrase extraction, sentiment analysis and training text classifiers without much setup.

Can I train my own classifier with TextBlob?

Yes. TextBlob includes simple classifiers, such as Naive Bayes, that you can train on your own labeled text.

How much does TextBlob cost?

TextBlob is 100% free.

Is there a free version of TextBlob?

Yes. TextBlob is completely free to use.

What are the main features of TextBlob?

Sentiment analysis, Part-of-speech tagging, Noun phrase extraction, Text classification, Tokenization and n-grams.

Who makes TextBlob?

TextBlob is made by Steven Loria.

What are the best alternatives to TextBlob?

Popular alternatives include Gensim, spaCy, DeepPavlov.

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