DTIC "Topic Space" Data Visualization, 1882 to 2011
"Topic Space" refers to a 3D space used to differentiate one article from another based on the extent to which it falls into one or another topic.
Legend
The hyperglyph legend for these visualizations (click to enlarge).
Geospatiotemporal Visualizations
Images below represent all articles with abstracts containing the term "neuro" from 1882 through 2011
Examples
Search Term - 'medicine'
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Search Terms - 'laser,optic'
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Search Term - 'cyber'
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DTIC Author Topic Space Visualization, 1882 to 2011
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I have created a form (send a request to access it) allowing the user to enter from 1 to 3 search terms which creates a database query returning all articles containing each of the 1 to 3 terms (using an AND search, not an OR search to keep the results small). I then "dot" the abstracts for each of the returned articles with the seven "core word vectors" to measure the extent to which the article falls into the 7 "core" keyword categories. I then render the resulting objects in 3d space where the xyz axes represent one of two possible "topic spaces". For the first topic space, the x axis represents the "physics-like" properties of the article, the y axis measures the "chemistry-like" nature of the article, and the z axis measures the "biology-like" nature of the article. For the second topic space, the x axis represents the "engineering-like" properties of the article, the y axis measures the "military-like" nature of the article, and the z axis measures the "social-like" nature of the article. I could have used any 3 of the 7 "core" keywords for the xyz axes, I do plan to explore these, and add that as an option to the form.
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Word and Character Count Visualizations