Learn the basics of Natural Language Processing with spaCy in this hands-on course
You'll learn how to process and analyze text data using spaCy's powerful document object model. Starting with fundamental operations like sentence and word tokenization, you'll progress to advanced concepts including part-of-speech tagging, dependency parsing, and named entity recognition. Through practical exercises, you'll explore various token attributes and visualization techniques for understanding linguistic structures. Perfect for developers and data scientists who want to build robust text analytics applications. This course emphasizes hands-on learning with real-world datasets.