Applied Text Analysis with Python
Product ID: 277191579
Buy anything from 5,000+ international stores. One checkout price. No surprise fees. Join 2M+ shoppers on Desertcart.
Desertcart purchases this item on your behalf and handles shipping, customs, and support to Uruguay.
Applied Text Analysis with Python : Bengfort, Benjamin, Bilbro, Rebecca, Ojeda, Tony: desertcart.ae: Books Review: In a hot summer evening when I did book browsing at Barnes and Noble, I found this book and immediately liked it. Due to the relative large price difference, I did not bought it at the bookstore but ordered a copy from desertcart. I am a mathematician and semi-physicist by training and data scientist by vocation, and I never enjoy reading technical books except when I have to for work-related studies (I enjoy theoretical books such as Lectures on Quantum Mechanics or Group Theory in a Nutshell for Physicists or etc.) But let me say I do enjoy reading this book. This book gives a very good introduction to fundamental concepts of natural language processing (NLP) as well as a survey of current NLP landscape (formulations, NLP libraries, applications, etc.). It is also hands-on. Good books of such kind should never be too long (A long book usu. = collection of stuff you can find by Googling). I am glad this book is not too long (300-ish pages), so you can read end to end and not miss every single idea of the authors'. What is particularly appreciated (from my perspective) is that the book has several chapters on the cutting edge NLP methodology (e.g. knowledge graph approach to NLP, chatbot design princples, etc.) Thanks for the good work of the authors! Review: O livro aborda o tema de maneira bem direta e objetiva. Entretanto, achei que poderia ter explorado mais a parte de deep learning usando tensorflow. Nesse aspecto o livro foi muito superficial.
| Customer reviews | 4.4 4.4 out of 5 stars (62) |
| Dimensions | 18.42 x 1.91 x 23.5 cm |
| Edition | 1st |
| ISBN-10 | 1491963042 |
| ISBN-13 | 978-1491963043 |
| Item weight | 553 g |
| Language | English |
| Print length | 330 pages |
| Publication date | 31 July 2018 |
| Publisher | O'Reilly Media |
Q**I
In a hot summer evening when I did book browsing at Barnes and Noble, I found this book and immediately liked it. Due to the relative large price difference, I did not bought it at the bookstore but ordered a copy from Amazon. I am a mathematician and semi-physicist by training and data scientist by vocation, and I never enjoy reading technical books except when I have to for work-related studies (I enjoy theoretical books such as Lectures on Quantum Mechanics or Group Theory in a Nutshell for Physicists or etc.) But let me say I do enjoy reading this book. This book gives a very good introduction to fundamental concepts of natural language processing (NLP) as well as a survey of current NLP landscape (formulations, NLP libraries, applications, etc.). It is also hands-on. Good books of such kind should never be too long (A long book usu. = collection of stuff you can find by Googling). I am glad this book is not too long (300-ish pages), so you can read end to end and not miss every single idea of the authors'. What is particularly appreciated (from my perspective) is that the book has several chapters on the cutting edge NLP methodology (e.g. knowledge graph approach to NLP, chatbot design princples, etc.) Thanks for the good work of the authors!
G**R
O livro aborda o tema de maneira bem direta e objetiva. Entretanto, achei que poderia ter explorado mais a parte de deep learning usando tensorflow. Nesse aspecto o livro foi muito superficial.
G**A
Excellent book with general coverage of the main topics of NLP. It can be used profitably as a textbook for university courses and specialist seminars
A**R
Is this supposed to be some kind of prank? This "new" book arrived looking like it had been printed by a personal printer on wet pages, with the book falling to pieces. Kids glue would have provided better binding. I'm sure the content is great. Pity I can't read it
F**M
This book provides a good framework and step-by-step guide to NLP. The only problem with this book is using high level functions and a beginner reader may got stuck in it.
Trustpilot
1 month ago
1 month ago