Article ID: CBB253321424

Triangulation of History Using Textual Data (2019)

unapi

This essay describes essential considerations and select methods in computational text analysis for use in the study of history, specifically the history of science and biomedicine. It explores specific approaches that can be used for understanding conceptual change over time in a large corpus of documents. By way of example, using a corpus of 27,977 articles collected on the microbiome, the essay studies the general microbiome discourse for the years from 2001 to 2010, examines the usage and the sense of the word “human” from 2001 to 2010, and highlights shifts in the microbiome discourse from 2001 to 2010.

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https://data.isiscb.org/isis/citation/CBB253321424/

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Authors & Contributors
Damerow, Julia
Laubichler, Manfred Dietrich
Gibson, Abraham Hill
Maienschein, Jane A.
Guldi, Jo
Plutniak, Sébastien
Journals
Isis: International Review Devoted to the History of Science and Its Cultural Influences
Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences
ARCS Network Analysis for Social Sciences
Technology and Culture
Nova Acta Paracelsica: Jahrbuch der Schweizerischen Paracelsus-Gesellschaft
Journal of the History of Biology
Publishers
Arizona State University
University of Chicago Press
Oxford University Press
Indiana University
Concepts
Digital humanities
Text mining
Computational methods
Data collection; methods
Big data
Historiography
People
Garelli, Paul
Paracelsus, Theophrast von Hohenheim
Gardin, Jean-Claude
Darwin, Charles Robert
Time Periods
21st century
20th century, late
19th century
Places
River Shannon
Great Britain
Institutions
Great Britain. Parliament
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