II-2 Topic Modeling

Contents

Expert Talk by Patrick Schulze & Simon Wiegrebe

Code Demos

Exercises

Exercise 4: Topic Modeling 💡 Solution

Data

Medium Articles (extracted from here)

Further Reading

Aggarwal, C. (2018): Machine Learning for Text

Banks et al (2018): A Review of Best Practice Recommendations for Text Analysis in R (and a User-Friendly App)

Fu et al. (2020): Agreeing to Disagree. Choosing Among Eight Topic-Modeling Methods

Schulze, P., Wiegrebe, S., Thurner, P., Heumann, C., Aßenmacher, A., and Wankmüller, S. (2021): Exploring Topic-Metadata Relationships with the STM. A Bayesian Approach

Schulze, P., and Wiegrebe, S. (2020): Twitter in the Parliament – A Text-Based Analysis of German Political Entities

Blogpost: Topic Modeling of Sherlock Holmes Stories

All About the R STM Implementation