Python Text Processing Tutorial

Python Programming can be used to process text data for the requirements in various textual data analysis. A very important area of application of such text processing ability of python is for NLP (Natural Language Processing). NLP is used in search engines, newspaper feed analysis and more recently for voice -based applications like Siri and Alexa. Python's Natural Language Toolkit (NLTK) is a group of libraries that can be used for creating such Text Processing systems.

This Python Text Processing Tutorial is based on the Latest Python 3.14.2 version.

Python Online Compiler

Our Python Data Structures tutorial provides various examples to explain different concepts. We have provided Online Python Compiler/Interpreter. You can Edit and Execute almost all the examples directly from your browser without the need to set up your development environment.

Try to click the icon to run the following Python code to print conventional "Hello, World!".

Below code box allows you to change the value of the code. Try to change the value inside print() and run it again to verify the result.

# This is my first Python program.
# This will print 'Hello, World!' as the output

print ("Hello, World!");

Audience

This tutorial is designed for Computer Science graduates as well as Software Professionals who are willing to learn Text Processing in simple and easy steps using Python as a programming language.

Prerequisites

Before proceeding with this tutorial, you should have a basic knowledge of writing code in Python programming language, using any python IDE and execution of Python programs. If you are completely new to python then please refer our Python tutorial to get a sound understanding of the language.