Skip to main content
Artificial Intelligence Beginner

NLP Basics Tutorial

Learn Natural Language Processing from scratch. Explore tokenization, sentiment analysis, word embeddings, transformers, and build your own conversational AI.

20 chapters 7h 25m 4.6 (161)
Start Learning

What you'll learn

  • Introduction to Natural Language Processing
  • Understanding Human Language and NLP
  • NLP Applications in Real Life
  • NLP Workflow and Pipeline
  • Text Preprocessing Basics
  • Tokenization and Text Segmentation
  • Stop Words and Text Cleaning
  • Stemming and Lemmatization

Course content

20 chapters Β· 7h 25m
  1. 1 Introduction to Natural Language Processing 15 min
  2. 2 Understanding Human Language and NLP 15 min
  3. 3 NLP Applications in Real Life 15 min
  4. 4 NLP Workflow and Pipeline 20 min
  5. 5 Text Preprocessing Basics 20 min
  6. 6 Tokenization and Text Segmentation 20 min
  7. 7 Stop Words and Text Cleaning 15 min
  8. 8 Stemming and Lemmatization 20 min
  9. 9 Parts of Speech Tagging (POS) 20 min
  10. 10 Named Entity Recognition (NER) 25 min
  11. 11 Sentiment Analysis Basics 20 min
  12. 12 Text Classification Fundamentals 25 min
  13. 13 Introduction to Word Embeddings 25 min
  14. 14 Language Models and Transformers 30 min
  15. 15 Chatbots and Conversational AI 25 min
  16. 16 NLP with Python Libraries 25 min
  17. 17 NLP Datasets and Training Data 20 min
  18. 18 Building Simple NLP Projects 40 min
  19. 19 Ethics, Bias, and Challenges in NLP 20 min
  20. 20 NLP Interview Questions and Practice Challenges 30 min