Spatial and temporal browser for assessing text recognition quality in a document collection
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BillLaneCenterStanford/Document-OCR-Quality-Visualization
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Mapping Texts is a collaboration between the University of North Texas and Stanford University aimed at experimenting with new methods for finding and analyzing meaningful patterns embedded in massive collections of digital newspapers. Using a collection of 232,500 pages of historical newspapers digitized for the Chronicling America project, we have developed an interactive visualization that allows you to explore both the quality of these digitized newspapers: Interactive Visualization: Assessing Newspaper Quality http://mappingtexts.org/quality This is the source code for this visualization, which links to but does not include the following Javascript libraries: Google Javascript API: https://www.google.com/jsapi Google Maps API: http://maps.google.com/maps/api/js?sensor=false JQuery: http://jquery.com Simile Timeline: http://www.simile-widgets.org/timeline/ Cufón font substitution script: http://cufon.shoqolate.com Protovis Visualization Library: http://vis.stanford.edu/protovis We have also produced a white paper (http://mappingtexts.org/whitepaper) that details the project, our experiments, and our findings. For more about this project, see our mission description (http://mappingtexts.org/?page_id=3). This project has been generously supported by the National Endowment for the Humanities.
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