Introduction to Natural Language Processing: Concepts and Fundamentals for Beginners

by Michael Walker

This book is for you. It would seek to explain common terms and algorithms in an intuitive way. The authors used a progressive approach whereby we start out slowly and improve on the complexity of our solutions.
This book and the accompanying examples, you would be well suited to tackle problems which pique your interests using ¨NLP.


Our books may be the best one for beginners; it's a step-by-step guide for any person who wants to start learning Artificial Intelligence and Data Science from scratch. It will help you in preparing a solid foundation and learn any other high-level courses.
To get the most out of the concepts that would be covered, readers are advised to adopt a hands on approach which would lead to better mental representations.


The book designed for a variety of target audiences. The most suitable users would








Does this book include everything I need to become a NLP expert?
Unfortunately, no. This book is designed for readers taking their first steps in NLP and further learning will be required beyond this book to master all aspects of NLP.

Can I have a refund if this book doesn’t fit for me?
Yes, Amazon refund you if you aren't satisfied, for more information about the amazon refund service please go to the amazon help platform. We will also be happy to help you if you send us an email (look inside the book sample).



Micheal Walker has a broad and deep knowledge of data science and Natural Language Processing. This book is an excellent introduction and helpful small book in Natural language processing. This is a great resource for quick and insightful tips for your NLP challenges.

A. Perrier, Senior Strategy Consultant - Natural Language Processing, IBM

69 pages, Kindle Edition

Published August 17, 2018

About the author

Librarian Note: There is more than one author by this name in the Goodreads database.

Reviews

[Scott Pearson · Rating 4 out of 5]

This book sits in a series by the publishing house AI Sciences that traverses topics in the field of Artificial Intelligence to make these subjects more accessible for the masses. I bought this book's Kindle Edition for only $5. Interestingly, this was one of the most expensive items in the series.

I am glad to have taken this short (77-page) book for a perusal. It reviewed some of my prior knowledge about Natural Language Processing (NLP) as well as extended my knowledge in new directions.

NLP studies how computers learn human languages. This process mimics how humans learn language in the brain. I've used some of its contents as I've taught computers how to master the art of classifying information in our scholar database. So I can indeed testify that these concepts are not mere pie-in-the-sky concepts but actually help real software function.

Concepts like Auto-Summarization of texts, Stemming (analyzing words based on their word-stems to acquire meaning), Bag of Words (analyzing texts by word frequency), and Deep Learning algorithms are discussed. As a computer programmer, I find this type of work very interesting to learn and follow.

[Shoban Jayaraj · Rating 4 out of 5]

A high level intro to NLP and what can be done.

Of you are looking for code examples, this might not be the book. This covers the concepts of NLP and serves as an introduction.

[Juan L Herrera M · Rating 5 out of 5]

Great introduction to nlp

Great introduction to NLP. Outline all key concepts and fundamentals. S great starting point to undertake a bigger path in learning boo and text analytics.