Text Cleaning and Tokenization

Natural Language Processing module 1 focuses on text cleaning and tokenization in a practical engineering context.

Learning objectives

• Explain the role of text cleaning and tokenization in a complete artificial intelligence workflow.
• Apply the technique to a small, testable implementation.
• Evaluate trade-offs and communicate a production-minded decision.

Practice

Build a focused exercise for Natural Language Processing, review the result against the module goals, and record one improvement for the capstone.