- 01. NLP and Pipelines
- 02. How NLP Pipelines Work
- 03. Text Processing
- 04. Cleaning
- 05. Notebook: Cleaning
- 06. Normalization
- 07. Notebook: Normalization
- 08. Tokenization
- 09. Notebook: Tokenization
- 10. Stop Word Removal
- 11. Notebook: Stop Words
- 12. Part-of-Speech Tagging
- 13. Named Entity Recognition
- 14. Notebook: POS and NER
- 15. Stemming and Lemmatization
- 16. Notebook: Stemming and Lemmatization
- 17. Text Processing Summary
- 18. Feature Extraction
- 19. Bag of Words
- 20. TF-IDF
- 21. Notebook: Bag of Words and TF-IDF
- 22. One-Hot Encoding
- 23. Word Embeddings
- 24. Modeling
- 25. [OPTIONAL] Word2Vec
- 26. [OPTIONAL] GloVe
- 27. [OPTIONAL] Embeddings for Deep Learning
- 28. [OPTIONAL] t-SNE