skip to main content


Title: Scalable Topological Data Analysis and Visualization for Evaluating Data-Driven Models in Scientific Applications
Award ID(s):
1941085 1842042 1629660
NSF-PAR ID:
10142039
Author(s) / Creator(s):
; ; ; ; ; ; ; ; ; ; ; ; ; ; ;
Date Published:
Journal Name:
IEEE Transactions on Visualization and Computer Graphics
Volume:
26
Issue:
1
ISSN:
1077-2626
Page Range / eLocation ID:
291 to 300
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
More Like this
  1. {} 
    more » « less
  2. 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. 
    more » « less