Computational Cultural Analytics

Computational Cultural Analytics

Our lab's research in Computational Cultural Analytics integrates technology with cultural and historical studies, employing computational tools to analyze texts, artifacts, and heritage data. We explore patterns in large cultural datasets, digital archiving, and the visualization of historical events, aiming to deepen our understanding of human culture and history through a digital lens.

Methods

Quantitative Text Analysis: Quantitative text analysis in digital humanities applies computational techniques to analyze large volumes of textual data. This approach allows researchers to identify patterns, trends, and themes in historical documents, literary works, and other cultural texts, providing new insights into cultural and societal trends over time.


Contact

Annika Haß

Relevant papers

Coming soon!