Mastering NLP with spaCy – Part 2

Three fundamental Natural Language Understanding tasks help capture information from text: Part-of-speech (POS) tagging, dependency parsing, and Named Entity Recognition (NER). POS tagging classifies words by their function, while dependency parsing analyzes the grammatical structure and relationships between words. Named Entity Recognition identifies real-world objects like companies, locations, or names within the text. The spaCy library in Python is used to provide practical code examples and visualizations for implementing each of these core NLP techniques.