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Natural Language Processing with Python and spaCy (A Practical Introduction)
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Product Details
Author:
Yuli Vasiliev
Format:
Paperback
Pages:
216
Publisher:
No Starch Press (May 12, 2020)
Language:
English
ISBN-13:
9781718500525
ISBN-10:
1718500521
Weight:
15.2oz
Dimensions:
7" x 9.31" x 0.5"
Case Pack:
32
File:
RandomHouse-PRH_Book_Company_PRH_PRT_Onix_full_active_D20260705T120356_156890269-20260705.xml
Folder:
RandomHouse
List Price:
$39.95
As low as:
$30.76
Publisher Identifier:
P-RH
Discount Code:
A
QuickShip:
Yes
Audience:
General/trade
Country of Origin:
United States
Pub Discount:
65
Imprint:
No Starch Press
Overview
An introduction to natural language processing with Python using spaCy, a leading Python natural language processing library.
Smart Natural Language Processing with Python is an introduction to natural language processing (NLP), the task of converting human language into data that a computer can process. The book uses spaCy, a leading Python library for NLP, to guide readers through common NLP tasks related to generating and understanding human language with code. It addresses problems like understanding a user's intent, continuing a conversation with a human, and using syntactic dependencies. It also teaches you how to connect an NLP script to a messaging app, store user data in a database to fill in a form, and customize your own statistical models to improve text processing. This book will give you the foundation you need to build your own chatbots, ticket-ordering apps, text-condensing scripts, and more.
Smart Natural Language Processing with Python is an introduction to natural language processing (NLP), the task of converting human language into data that a computer can process. The book uses spaCy, a leading Python library for NLP, to guide readers through common NLP tasks related to generating and understanding human language with code. It addresses problems like understanding a user's intent, continuing a conversation with a human, and using syntactic dependencies. It also teaches you how to connect an NLP script to a messaging app, store user data in a database to fill in a form, and customize your own statistical models to improve text processing. This book will give you the foundation you need to build your own chatbots, ticket-ordering apps, text-condensing scripts, and more.
