Note: The following slides (Session 10) are material from a guest lecture presented by Camille Landesvatter (MZES Website).
- Learning outcomes:
- learn basic concepts of Natural Language Processing (NLP)
- become familiar with a typical (R-)workflow for text analysis
- overview machine learning approaches for text data (supervised & unsupervised)
- Random forests for text classification