Natural Language Processing with spaCy (Advanced)
In this advanced quest, you will delve deep into the world of Natural Language Processing (NLP) using spaCy, a powerful and efficient library in Python. This quest will take you through the advanced features of spaCy, including custom pipeline components, advanced tokenization, named entity recognition, and text classification. You will learn how to build and optimize NLP models that can handle complex language tasks, as well as how to integrate spaCy with other libraries like TensorFlow and PyTorch for deep learning applications. By the end of this quest, you will be equipped with the skills needed to implement sophisticated NLP solutions in real-world projects.
• Understand the architecture of spaCy and its components.
• Implement custom pipeline components for specialized NLP tasks.
• Enhance models with deep learning techniques using spaCy.
• Evaluate and optimize NLP models for better performance.
