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This essay describes essential considerations and select methods in computational text analysis for use in the study of history. We explore 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, this paper studies: 1) the general microbiome discourse for 2001 to 2010; 2) the usage and sense of the word “human” from 2001 to 2010; and 3) highlights shifts in the microbiome discourse from 2001 to 2010.
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A Generative Adversarial Network (GAN)-Assisted Data Quality Monitoring Approach for Out-of-Distribution Detection of High Dimensional Data
- Award ID(s):
- 2141184
- PAR ID:
- 10486939
- Publisher / Repository:
- IISE
- Date Published:
- ISBN:
- 978-1-7138-7785-1
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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