Democracy Viewer
Digital Humanities Corpus Linguistics Government Data

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Text Mining for Historical Analysis

Text Mining for Historical Analysis

Text Mining for Historical Analysis offers a critical intervention into the evolving field of digital history. It introduces "computational historical thinking"-a mode of thinking that explores the epistemological entanglements between computation, theory, and historical analysis, emphasizing how computational procedures actively shape the questions we ask and the meanings we derive from data. Through sustained engagement with historical corpora—such as the 19th-century Hansard debates and contemporary U.S. Congressional Records—this book demonstrates how to attend to both structure and semantics, thus reimagining the relationship between computation and historical knowledge in the digital age.

Who is the Working Class, Socialist James Bond? Exploring Propaganda through Knowledge Graphs and AI-Assisted Forensic Reading in Bulgarian Spy Fiction

Who is the Working Class, Socialist James Bond? Exploring Propaganda through Knowledge Graphs and AI-Assisted Forensic Reading in Bulgarian Spy Fiction

The Cold War between the "free world" and the Communist Bloc involved multiple fronts, including intense literary warfare. In the bloc, authors crafted characters that reflected traits and ideals promoted by those regimes. To deepen our understanding of these works and their ideological underpinnings, we employ an original method we call "AI-assisted forensic reading," using advanced natural language processing, knowledge graphs, and artificial intelligence. Our approach uncovers new knowledge in the target literature by illuminating how these authors construct meaning, disseminate propaganda, and mirror idealized traits or real-life events, likely under the influence or direction of intelligence agency leaders.

Foundations and Applications of Humanities Analytics

Foundations and Applications of Humanities Analytics

Computational methods allow researchers to systematically analyze and interpret large volumes of social, political, and cultural data, uncovering underlying patterns and insights at scale. These course materials, made for the Santa Fe Institute, are designed to equip humanities researchers with computational and quantitative tools. The course aims to foster a supportive community, build practical skills, and diversify the field of humanities analytics by welcoming participants from various backgrounds and stages of their academic careers.