Natural Language Processing

Learn how machines understand human language. Explore text preprocessing, embeddings, attention-based models, and modern NLP techniques used in real-world applications.

📄️ Tokenization

The first step in NLP: Converting raw text into manageable numerical pieces.

📄️ Stemming

Learn how to normalize text by stripping suffixes to find the base form of words.

📄️ Lemmatization

Understanding how to return words to their dictionary base forms using morphological analysis.

📄️ Word Embeddings

How to represent words as dense vectors where geometric distance corresponds to semantic similarity.

📄️ Attention Models

How the Attention mechanism solved the bottleneck problem in Seq2Seq models and paved the way for Transformers.