General:Project Description

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Summary

This project will use the Orlando textbase as a testbed for studying complexities in the analysis and visualization of patterns of association. It will investigate how emergent methods in text mining and visualization can leverage that embedded structure to enable new discovery paths in literary history. This project will investigate how literary historical analysis can be radically extended by text mining and visualization. Building on preliminary work on text mining and the use of high-performance computing for literary scholarship, we will test and further develop existing techniques to develop new approaches to literary history using computers. Our research goal in this project is to assist literary scholars working with Orlando materials by designing systems to support interactive speculative inquiry through text mining and visualization.