Class 16: Natural Language Processing Foundations

Summary: Core NLP concepts and techniques for processing, analyzing, and generating human language

Learning Objectives:

• Apply fundamental NLP preprocessing techniques
• Implement text analysis and classification
• Utilize NLP for practical applications

Key Topics:

• Text preprocessing: Tokenization, stemming, lemmatization
• Text representation: Bag-of-words, TF-IDF, word embeddings
• Sentiment analysis and text classification¹³⁶
• Named entity recognition and information extraction

Activities:

• Sentiment analysis project on social media data
• Text classification model development
• NLP application prototyping