Natural Language Processing
Natural Language Processing (NLP) is a field at the intersection of computer science, artificial intelligence, and linguistics. It focuses on enabling computers to understand, interpret, and generate human language.1
Topics in This Section
| Topic | Description |
|---|---|
| Text Preprocessing | Tokenization, stemming, lemmatization, cleaning |
| Word Embeddings | Word2Vec, GloVe - static word representations |
| BERT & Contextual Embeddings | Dynamic, context-aware representations |
| Semantic Search | Understanding intent beyond keyword matching |
| Named Entity Recognition | Extracting entities from text |
Learning Path
Text Preprocessing → Word Embeddings → BERT & Contextual Embeddings → Semantic Search
Related Domains
- Ready for LLMs? See 05 - Generative AI
- Need deep learning basics? See 03 - Deep Learning
- Building search systems? See RAG Systems
References
Jurafsky, D., & Martin, J. H. (2023). Speech and Language Processing (3rd ed.). https://web.stanford.edu/~jurafsky/slp3/ ↩︎