Natural Language Processing with Python and spaCy

<b>An introduction to natural language processing with Python using spaCy, a leading Python natural language processing library.</b><br><br><i>Natural Language Processing with Python and spaCy</i> 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.<br><br>You'll also learn how to:<br><li>Work with word vectors to mathematically find words with similar meanings (Chapter 5)</li><li>Identify patterns within data using spaCy's built-in displaCy visualizer (Chapter 7)</li><li>Automatically extract keywords from user input and store them in a relational database (Chapter 9)</li><li>Deploy a chatbot app to interact with users over the internet (Chapter 11)</li><br>"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.<br><br>By the end of the book, you'll be creating your own NLP applications with Python and spaCy.