Book Image

Text Processing Using NLTK in Python [Video]

By : Krishna Bhavsar, V Naresh Kumar, Pratap Dangeti
Book Image

Text Processing Using NLTK in Python [Video]

By: Krishna Bhavsar, V Naresh Kumar, Pratap Dangeti

Overview of this book

<p>Natural Language Processing (NLP) is a feature of Artificial Intelligence concerned with the interactions between computers and human (natural) languages. This course includes unique videos that will teach you various aspects of performing Natural Language Processing with NLTK—the leading Python platform for the task.</p> <p>In this course, you will learn what WordNet is and explore its features and usage. It will teach how to extract raw text from web sources and introduce some critical pre-processing steps. You will also get familiarized with the concept of pattern matching as a way to do text analysis.</p> <p>By the end of the course, you will be confident &amp; have covered various solutions, covering natural language understanding, Natural Language Processing, and syntactic analysis.</p> <p>All the code and supporting files for this course are available on Github at <a style="color: #fa8d11;" href="https://github.com/PacktPublishing/Text-Processing-using-NLTK-in-Python" target="blank">https://github.com/PacktPublishing/Text-Processing-using-NLTK-in-Python</a></p> <h1>Style and Approach</h1> <p>This video course takes a solution-based approach where every topic is explicated with the help of a real-world example.</p>
Table of Contents (4 chapters)
Chapter 4
Regular Expressions
Content Locked
Section 5
Making Abbreviations
We have covered all the important notations that I wanted to cover with examples in the previous videos. Now, going forward, we will look at topics that are geared more towards accomplishing a certain task using regular expressions than explaining any notations. - Use re.sub() - Find all five-character words inside any given sentence - Declare a string object text