Getting Started with Natural Language Processing

Hit the ground running with this in-depth introduction to the NLP skills and techniques that allow your computers to speak human. . In Getting Started with Natural Language Processing you'll learn about:. Fundamental concepts and algorithms of NLP Useful Python libraries for NLP Building a search algorithm Extracting information from raw text Predicting sentiment of an input text Author profiling Topic labeling Named entity recognition. Getting Started with Natural Language Processing is an enjoyable and understandable guide that helps you engineer your first NLP algorithms. Your tutor is Dr. Ekaterina Kochmar, lecturer at the University of Bath, who has helped thousands of students take their first steps with NLP. Full of Python code and hands-on projects, each chapter provides a concrete example with practical techniques that you can put into practice right away. If you're a beginner to NLP and want to upgrade your applications with functions and features like information extraction, user profiling, and automatic topic labeling, this is the book for you.. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.. About the technologyFrom smart speakers to customer service chatbots, apps that understand text and speech are everywhere. Natural language processing, or NLP, is the key to this powerful form of human/computer interaction. And a new generation of tools and techniques make it easier than ever to get started with NLP!. About the bookGetting Started with Natural Language Processing teaches you how to upgrade user-facing applications with text and speech-based features. From the accessible explanations and hands-on examples in this book you'll learn how to apply NLP to sentiment analysis, user profiling, and much more. As you go, each new project builds on what you've previously learned, introducing new concepts and skills. Handy diagrams and intuitive Python code samples make it easy to get started - even if you have no background in machine learning!. What's inside. Fundamental concepts and algorithms of NLP Extracting information from raw text Useful Python libraries Topic labeling Building a search algorithm. About the readerYou'll need basic Python skills. No experience with NLP required.. About the authorEkaterina Kochmar is a lecturer at the Department of Computer Science of the University of Bath and a cofounder and the chief scientific officer of Korbit AI.. Table of Contents1 Introduction2 Your first NLP example3 Introduction to information search4 Information extraction5 Author profiling as a machine-learning task6 Linguistic feature engineering for author profiling7 Your first sentiment analyzer using sentiment lexicons8 Sentiment analysis with a data-driven approach9 Topic analysis10 Topic modeling11 Named-entity recognition