Book Image

NLTK Essentials

By : Nitin Hardeniya
Book Image

NLTK Essentials

By: Nitin Hardeniya

Overview of this book

<p>Natural Language Processing (NLP) is the field of artificial intelligence and computational linguistics that deals with the interactions between computers and human languages. With the instances of human-computer interaction increasing, it’s becoming imperative for computers to comprehend all major natural languages. Natural Language Toolkit (NLTK) is one such powerful and robust tool.</p> <p>You start with an introduction to get the gist of how to build systems around NLP. We then move on to explore data science-related tasks, following which you will learn how to create a customized tokenizer and parser from scratch. Throughout, we delve into the essential concepts of NLP while gaining practical insights into various open source tools and libraries available in Python for NLP. You will then learn how to analyze social media sites to discover trending topics and perform sentiment analysis. Finally, you will see tools which will help you deal with large scale text.</p> <p>By the end of this book, you will be confident about NLP and data science concepts and know how to apply them in your day-to-day work.</p>
Table of Contents (17 chapters)
NLTK Essentials
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Index

Different types of parsers


A parser processes an input string by using a set of grammatical rules and builds one or more rules that construct a grammar concept. Grammar is a declarative specification of a well-formed sentence. A parser is a procedural interpretation of grammar. It searches through the space of a variety of trees and finds an optimal tree for the given sentence. We will go through some of the parsers available and briefly touch upon their workings in detail for awareness, as well as for practical purposes.

A recursive descent parser

One of the most straightforward forms of parsing is recursive descent parsing. This is a top-down process in which the parser attempts to verify that the syntax of the input stream is correct, as it is read from left to right. A basic operation necessary for this involves reading characters from the input stream and matching them with the terminals from the grammar that describes the syntax of the input. Our recursive descent parser will look ahead...