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.
