Part 13: Step by Step Guide to Master NLP – Regular Expressions
Introduction
This article is part of an ongoing blog series on Natural Language Processing (NLP). From this article, we will start our discussion on Regular Expressions. When a data scientist comes across a text processing problem whether it is searching for titles in names or dates of birth in a dataset, regular expressions rear their ugly head very frequently.
They form part of the basic techniques in NLP and learning them will make you a more efficient programmer. Therefore, Regular Expression is one of the key concepts of Natural Language Processing that every NLP expert should be proficient in.
So, In this article, we will see all the necessary concepts related to Regular Expressions and also discuss important functionalities related to Regular Expressions.
This is part-13 of the blog series on the Step by Step Guide to Natural Language Processing.
Table of Contents
1. What are Regular Expressions?
2. How Do Regular Expressions Work?
3.