Natural Language Processing with Python and SpaCy : A Practical Introduction

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. An Introduction To Natural Language Processing With Python Using Spacy, A Leading Python Natural Language Processing Library. Natural Language Processing Using 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 Maintaining The State Of A Conversation. 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. "Teaches the foundations of natural language processing (the task of converting human language into data a computer can process), including how to understand a user's intent, customize a statistical model, and set up a basic chatbot"-- Provided by publisher