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Text as Data: A Hands-On Introduction to Textual Analysis in Python
This summer school provides a structured introduction to textual analysis for MSc and early PhD students. The course progresses from rudimentary frequency-based approaches to probabilistic models, topic modelling, and modern large language models (LLMs). The unifying theme is that all textual methods involve projecting text into numerical or latent representational spaces, with different assumptions and inferential consequences. The course explicitly compares methods with and without LLMs, emphasising construct validity, measurement error, and researcher discretion within the social sciences and with a focus on business topics.
View or download the Module Outline to find out more.