We present ThemeDelta, a visual analytics system for extracting and visualizing temporal trends, clustering, and reorganization in time-indexed textual datasets. ThemeDelta is supported by a dynamic temporal segmentation algorithm that integrates with topic modeling algorithms to identify change points where significant shifts in topics occur. This… (More)
A collaborative project combines innovative algorithmic techniques with traditional textual analysis of newspapers to learn more about past health events, guiding preparedness for future crises.
129 library catalogues have not commonly been used to record historical information about provenance, especially date of acquisition, which would be of particular value for the retrospective construction of content sets. Mining also demands machine-readable text, which is problematic with certain typefaces for printed material and near to impossible with… (More)
Humanities scholars, particularly historians of health and disease, can benefit from digitized library collections and tools such as topic modeling. Using a case study from the 1918 Spanish Flu epidemic, this paper explores the application of a big humanities approach to understanding the impact of a public health official on the course of the disease and… (More)
This article examines the 11-year Soviet experiment with boys' schools as a way to cast new light on scholarly research and public debates about single-sex education. Drawing on archival and published materials by educators who described school conditions, identified problems, suggested reforms, and evaluated remedies, the author argues that separating boys… (More)