Session 7 Machine Learning: Text classification

Note: The following slides (Session 7) 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 unsupervised machine learning approaches for text data (with a focus on topic models)
  • Lab:
    • how to perform a structural topic model in R