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Posted 19 Jun 2020

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Introduction to Natural Language Processing with NLTK

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19 Jun 2020CPOL4 min read
In this article we take a look at what you can do with the Natural Language Toolkit (NLTK).
The Natural Language Toolkit (NLTK) offers many functions for performing natural language processing (NLP) and machine learning analysis on textual content. We walk through an example of sentiment analysis to demonstrate its text classification capabilities.

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This article is part of the series '8 Steps to Python for AI-Engaged Enterprise Developers View All

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


Written By
Thomas Daniels
Student
Europe Europe
Also known as ProgramFOX. I like programming, playing chess and astronomy. Administrator of Chess Variants Training[^].

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8 Steps to Python for AI-Engaged Enterprise Developers
1
Python Basics for Machine Learning and AI
2
Python Tuples, Lists, Destructuring, and Loops
3
Python Generators and Classes
4
Python AI and Machine Learning Libraries
5
Introduction to OpenCV
6
Introduction to Natural Language Processing with NLTK
7
Introduction to Keras
8
Introduction to NumPy, TensorFlow, and scikit-learn
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