***** BUY NOW (will soon return to 19.89 $) ***** MONEY BACK GUARANTEE BY AMAZON (See Below FAQ) ********Free eBook for customers who purchase the print book from Amazon***Are you thinking of learning more about Natural Language Processing (NLP)? 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
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.
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.