Natural Language Processing with Python and spaCy

Yuli Vasiliev

ISBN 10: 1718500521 / ISBN 13: 9781718500525

Published by No Starch Press,US, US, 2020

About this Item

Smart Natural Language Processing with Python is an introduction to natural language processing (NLP). 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 customise your own statistical models to improve text processing.

Seller Inventory # LU-9781718500525

Bibliographic Details

• Title: Natural Language Processing with Python and spaCy
• Publisher: No Starch Press,US, US
• Publication Date: 2020
• Language: English
• ISBN 10: 1718500521
• ISBN 13: 9781718500525
• Binding: Paperback
• Condition: New

About this title

Synopsis

An introduction to natural language processing with Python using spaCy, a leading Python natural language processing library.

Natural Language Processing with Python and spaCy will show you how to create NLP applications like chatbots, text-condensing scripts, and order-processing tools quickly and easily. You'll learn how to leverage the spaCy library to extract meaning from text intelligently; how to determine the relationships between words in a sentence (syntactic dependency parsing); identify nouns, verbs, and other parts of speech (part-of-speech tagging); and sort proper nouns into categories like people, organizations, and locations (named entity recognizing). You'll even learn how to transform statements into questions to keep a conversation going.

You'll also learn how to:

Work with word vectors to mathematically find words with similar meanings (Chapter 5)

Identify patterns within data using spaCy's built-in displaCy visualizer (Chapter 7)

Automatically extract keywords from user input and store them in a relational database (Chapter 9)

Deploy a chatbot app to interact with users over the internet (Chapter 11)

"Try This" sections in each chapter encourage you to practice what you've learned by expanding the book's example scripts to handle a wider range of inputs, add error handling, and build professional-quality applications.

By the end of the book, you'll be creating your own NLP applications with Python and spaCy.

About the Author

Yuli Vasiliev is a programmer, freelance writer, and consultant who specializes in open source development, Oracle database technologies, and natural language processing.