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.
