Turning text into valuable information is essential for many businesses looking to gain a competitive advantage. There have been many improvements in natural language processing and users have a lot of options when choosing to work on a problem. However, it’s not always clear which NLP tools or libraries would work for a business use—or which techniques you should use and in what order.
This practical book provides theoretical background and real-world case studies with detailed code examples to help developers and data scientists obtain insight from text online. Authors Jens Albrecht, Sidharth Ramachandran, and Christian Winkler use blueprints for text-related problems that apply state-of-the-art machine learning methods in Python.
If you have a fundamental understanding of statistics and machine learning along with basic programming experience in Python, you’re ready to get started. You’ll learn how to: