Theoretical Foundations of Text Mining in Digital Humanities

This exam addresses the foundational theories underlying text mining and its relevance in the context of digital humanities. Emphasis will be placed on the interdisciplinary nature of the field, integrating concepts from natural language processing and machine learning.

Understanding the theoretical principles of text mining is crucial for advancing data-driven analysis in humanities research. The ability to derive meaningful insights from extensive textual data has significant theoretical implications for text interpretation and new forms of scholarship.

The exam will assess candidates’ ability to articulate the theoretical principles of text mining, discuss relevant methodologies, and critically evaluate their implications within the framework of digital humanities.

Candidates should be prepared to demonstrate a nuanced understanding of theoretical concepts, as well as their implications for the broader landscape of humanities research.