<title type="main">Using Bayesian Network Classifiers to Trace the Constuction of Race, Gender, and Class in all Print Editions of the Encyclopedia Britannica

<title type="main">Using Bayesian Network Classifiers to Trace the Constuction of Race, Gender, and Class in all Print Editions of the Encyclopedia Britannica1768-2010MauroAaronBrock University, Canadaamauro@brocku.ca43994Name, Institution

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DHConvalidatorPaperPostermachine learningnatural language processingencyclopediareferencebayesian networksEuropeEnglishNorth America18th Century19th Century20th Centuryartificial intelligence and machine learningnatural language processingAfrican and African American StudiesFeminist studies

This short paper presentation will share recent discoveries made regarding conceptions of race, gender, and class across the 242 year history and all 15 editions of the Encyclopedia Britannica.