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TextBlob Reviews and details

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  • TextBlob Landing page
    Landing page //
    2020-03-01

Features & Specs

  1. Ease of Use

    TextBlob is designed with simplicity in mind, offering an easy-to-use interface for processing text data, making it accessible for both beginners and experienced developers.

  2. Linguistic Features

    It provides a range of natural language processing tasks such as noun phrase extraction, sentiment analysis, and part-of-speech tagging, which are built-in and readily available with simple commands.

  3. Integration Capabilities

    TextBlob integrates seamlessly with other libraries such as NLTK and Pattern, allowing for enhanced functionality and extended features.

  4. Pre-trained Models

    The library includes pre-trained models for various languages, enabling quick start without the need for extensive training or configuration from scratch.

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Videos

Natural Language Processing (Part 4): Sentiment Analysis with TextBlob in Python

How to Calculate Sentiment Using TextBlob - Part 5 - Python Yelp Sentiment Analysis

A Quick Guide To Sentiment Analysis | Sentiment Analysis In Python Using Textblob | Edureka

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This is an informative page about TextBlob. You can review and discuss the product here. The primary details have not been verified within the last quarter, and they might be outdated. If you think we are missing something, please use the means on this page to comment or suggest changes. All reviews and comments are highly encouranged and appreciated as they help everyone in the community to make an informed choice. Please always be kind and objective when evaluating a product and sharing your opinion.