Practical Natural Language Processing: A Comprehensive Guide to Building Real-World NLP Systems

This is the first time I got a book which cover is correct, but the content is completely wrong. How is it possible? The book I got was "Infrastructure as Code", see Photo., but the cover says Practical Natural Language Processing. Usually, I wouldn't give a bad review, but I read that many users complained about the book's quality. Well, I wouldn't suggest to buy the book until they fix their quality issues.

Expensive book and well damaged on arrival

Great content

About This Book This was a highly regarded book when it came out in the summer of 2020, and I can see why. It's the generalist's guide to NLP, a high-level overview of the entire field. If you want to learn about natural language processing, this is where you start. There are books to read after this one, but this is your foundation. Who Is This For? The authors intent this book to be for anyone who is interested in or working in the field. However, they also have a list of prerequisites they want you to have to gain the maximum value from the book: an intermediate level of Python, knowledge of the general software development life cycle, a basic knowledge of machine learning, and some general knowledge of what NLP is. I can see where these can be useful, but I also agree with the authors that these are not completely necessary. Why Was This Written? The authors wrote this book to fill a perceived gap between what previous books offered versus what they think is required for working with natural language in production. From what I have seen from other books, I can agree. Organization The macrostructure of this book is well thought out and is broken up into four parts: foundations, essentials, applied, and bringing it all together. I really like these sections and how they include a map of reading order in the preface. This is useful when you already have a little bit of knowledge and want to see how best to skip around without missing anything. Within the chapters, each one is different, but all end with a wrapping up section to summarize the chapter and give all the references. Having a summary at the end is great for helping the reader retain the information they just read. I never understood why some technical books leave this out. Did This Book Succeed? Yes, very much so. This is a foundational book for anyone learning natural language processing that paves the way for more detailed books when you want to drill down and specialize. It's well laid out and easy to navigate. This should be on the bookshelf of anyone working in artificial intelligence. Rating and Final Thoughts This book is step one to learning natural language processing and has earned all of the accolades it has been given. Buy this book and read through it to have a thorough understanding of the field without getting stuck in the details. I give this book a 5 out of 5. This should be in your library.

Très déçu de la qualité d'impression de ce livre vendu et expédié par Amazon. En effet, les images sont à peine visibles (voir photo 1) en comparaison à celles disponibles sur les extraits publiques du livre (voir photo 2). Cela sans parler de l'épaisseur de pages et de la sensation globale de n'avoir pas un produit O'Reilly sur la main. Retour et remboursement demandé.