This project evaluated methods for indexing serialized fiction in the University of Illinois' digital newspaper collection and was first presented at Digital Humanities 2013. The project evaluated traditional indexing and tagging, crowdsourcing to correct OCR problems, and data mining using Natural Language Processing and Bayesian statistics. Sample collection http://uller.grainger.uiuc.edu/omeka/
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