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Introducing NLTK for Natural Language Processing with Python

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29 May 2020CPOL4 min read
This article is the first in the Sentiment Analysis series that uses Python and the open-source Natural Language Toolkit. This article is a primer on some key NLP concepts and getting started with the Natural Language Toolkit (NLTK) Python library.
We'll provide a brief overview of Natural Language Processing (NLP), introduce NLTK for Python and explain how it can be used to solve complex NLP problems.


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This article is part of the series 'Sentiment Analysis View All


This article, along with any associated source code and files, is licensed under The Code Project Open License (CPOL)

Written By
Technical Lead
United States United States
Jayson manages Developer Relations for Dolby Laboratories, helping developers deliver spectacular experiences with media.

Jayson likes learning and teaching about new technologies with a wide range applications and industries. He's built solutions with companies including DreamWorks Animation (Kung Fu Panda, How to Train Your Dragon, etc.), General Electric (Predix Industrial IoT), The MathWorks (MATLAB), Rackspace (Cloud), and HERE Technologies (Maps, Automotive).

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