Audience

Python developers and data scientists seeking a solution for performing a wide range of natural language processing tasks

About TextBlob

TextBlob is a Python library for processing textual data, offering a simple API to perform common natural language processing tasks such as part-of-speech tagging, noun phrase extraction, sentiment analysis, and classification. It stands on the giant shoulders of NLTK and Pattern, and plays nicely with both. Key features include tokenization (splitting text into words and sentences), word and phrase frequencies, parsing, n-grams, word inflection (pluralization and singularization) lemmatization, spelling correction, and WordNet integration. TextBlob is compatible with Python versions 2.7 and above, and 3.5 and above. It is actively developed on GitHub and is licensed under the MIT License. Comprehensive documentation, including a quick start guide and tutorials, is available to assist users in implementing various NLP tasks.

Integrations

API:
Yes, TextBlob offers API access

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Company Information

TextBlob
United States
textblob.readthedocs.io/en/dev/

Videos and Screen Captures

TextBlob Screenshot 1
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Product Details

Platforms Supported
Windows
Mac
Linux
Training
Documentation
Support
Online

TextBlob Frequently Asked Questions

Q: What kinds of users and organization types does TextBlob work with?
Q: What languages does TextBlob support in their product?
Q: What kind of support options does TextBlob offer?
Q: Does TextBlob have an API?
Q: What type of training does TextBlob provide?

TextBlob Product Features

Natural Language Processing

Sentence Segmentation
Tokenization
Stemming/Lemmatization
Part-of-Speech Tagging
Parsing
Named Entity Recognition
Co-Reference Resolution
In-Database Text Analytics
Open Source Integrations
Natural Language Generation (NLG)