Mining Mind and Body – Approaches and Considerations for Using Data Mining to Identify Discourses in Digitized Publications – Amanda Regan Ph.D. Candidate and Digital History Fellow George Mason University

View Github Repository Open presentation in a new window

See all presentation from regan008

On Github regan008 / MiningMindandBodyPresentation

Mining Mind and Body

A "Topic" is simply a group of words that are likely to appear together in the same document.

heart, blood, pressure, rate, pulse, normal, cardiac, man, exertion, increase, exercise, vessels, flow, rest.

Average Topic Weight by Year

heart, blood, pressure, rate, pulse, normal, cardiac, man, exertion, increase, exercise, vessels, flow, rest. Distribution of Topic 5 Over Time

Topic 42: gymnasium room rooms bath baths building space water end city

gymnasium room rooms bath baths building space water end city Distribution of Topic 42 Over Time

physical training work education class schools time department director classes general school normal good members gymnasium.

Distribution of Topic 23 Over Time. Blue Lines Represent Editorial Shifts.