Abstract
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.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 522-537 |
| Number of pages | 16 |
| Journal | ISIS |
| Volume | 110 |
| Issue number | 3 |
| DOIs | |
| State | Published - Sep 1 2019 |
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ASJC Scopus subject areas
- History
- Earth and Planetary Sciences (miscellaneous)
- History and Philosophy of Science
Cite this
Triangulation of history using textual data. / Aiello, Kenneth D.; Simeone, Michael.
In: ISIS, Vol. 110, No. 3, 01.09.2019, p. 522-537.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Triangulation of history using textual data
AU - Aiello, Kenneth D.
AU - Simeone, Michael
PY - 2019/9/1
Y1 - 2019/9/1
N2 - 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.
AB - 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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UR - http://www.scopus.com/inward/citedby.url?scp=85072032109&partnerID=8YFLogxK
U2 - 10.1086/705541
DO - 10.1086/705541
M3 - Article
VL - 110
SP - 522
EP - 537
JO - Isis; an international review devoted to the history of science and its cultural influences
JF - Isis; an international review devoted to the history of science and its cultural influences
SN - 0021-1753
IS - 3
ER -