Natural Language Processing
Contents & Topics:
- String manipulation and intuition
- Working with long texts and extracting text elements
- Text vectorization
- Topic modelling
-
Text and supervised ML
- Theory - Introduction to NLP (intuition):
- Application: String Manipulation
- Application: Working with long text and extracting text elements
- Python:
- R:
- Application: Vectorization and Topic Modelling
- Python:
- R:
- Application: Supervised ML and NLP
- Python: