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Russell Jurney Jul 07, 2019

This book’s coverage of things you can do to text data using natural language processing is excellent! It is quite a menu to choose from. It does assume you know Python but it says so at the beginning so the negative reviews aren’t valid.

Amazon Verified review

Santhosh Jan 29, 2020

Lacks depth in the discussions, though the book covers important topics in NLP.Not worth the price.I supplement the book with Internet resources.

Gary Woodfine Feb 24, 2019

I don't think I can quite put into words, just how disappointed I am with this book. I feel the authors did an extremely poor job of attempting to explain this really interesting subject. For the most part, one might get the impression that authors took snippets from other books on the subject and tried to weave it into their book.I have had to re-read several chapters of the book, several times in order to try understand what it is the authors are trying to explain. I am really interested in the subject, but in my opinion this book, has actually made it more difficult for me to understand the subject!It may of course, just be me, but I don't think this book offers a hands on approach at all

Edward Nelson Apr 11, 2019

I got to Chapter 4, where the authors begin to tackle neural network NLP models. The main code example in the book has errors and is incomplete. The authors use advanced functions such as a generator and name spaces, with no explanation (and a decent programmer would have trouble figuring out what is going, even after consulting information about the commands used on the Internet). So, I thought, they should have a working example in the code base for the chapter. What I found instead was a mess. I found no code for the only real example of code in the chapter. I found code that belonged under subject headings in other chapters. Of 10 files, I found only 3 with passing relevance to the chapter. These are incomplete (e.g. using data files the whereabouts of which I cannot determine) and are not code that is discussed in the chapter. I haven't taken a close look at subsequent chapters, but suspect, from a quick look through the code base and the fact that code from Ch 4 belonged in other sections of the book, that the situation is unlikely to be better there. I complained to the publisher and their solution (or more likely the authors') was to publish the code on GitHub. However, the GitHub code for chapter 4 is identical to the code with which I had problems (I did a diff across all the files).

Hands-On Natural Language Processing with Python: A practical guide to applying deep learning architectures to your NLP applications

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